Daily Papers
- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
Updated on 2025.06.27
Defect Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-26 | YOLO-FDA: Integrating Hierarchical Attention and Detail Enhancement for Surface Defect Detection | Jiawei Hu et.al | paper | - | - |
| 2025-6-25 | VQGNet: An Unsupervised Defect Detection Approach for Complex Textured Steel Surfaces | R Yu et.al | paper | - | <summary>detail</summary>Sensors, 2024 mdpi.com |
| 2025-6-25 | Unsupervised Bearing Raceway Surface Defect Detection Based on Improved f-AnoGAN | Y Zhang et.al | paper | - | <summary>detail</summary>Measurement Science and…, 2024 iopscience.iop.org |
| 2025-6-25 | Improvement and Research on Object Detection Algorithm for Wind Turbine Blade Defect Scenarios Based on YOLOv8 | M Zhu- Journal of Computer Science Research et.al | paper | - | <summary>detail</summary>Journal of Computer Science Research, 2024 journals.bilpubgroup.com |
| 2025-6-25 | Retraction Note: Application of light sensors based on reinforcement learning in martial arts action optimization and image defect detection | PL Yan et.al | paper | - | <summary>detail</summary>2024 Springer |
| 2025-6-25 | Improved U2Net-Based Surface Defect Detection Method for Blister Tablets | J Zhou et.al | paper | - | <summary>detail</summary>Algorithms, 2024 mdpi.com |
| 2025-6-25 | A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection | Y Zhou et.al | paper | - | <summary>detail</summary>Nondestructive Testing and…, 2024 Taylor & Francis |
| 2025-6-25 | Research on Defect Detection Method of Fusion Reactor Vacuum Chamber Based on Photometric Stereo Vision | G Qin et.al | paper | - | <summary>detail</summary>Sensors, 2024 mdpi.com |
| 2025-6-24 | Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 | Y Liu et.al | paper | - | <summary>detail</summary>Applied Sciences, 2024 mdpi.com |
| 2025-6-24 | Optimizing Feature Extraction and Fusion for High-Resolution Defect Detection in Solar Cells | H Nguyen et.al | paper | - | <summary>detail</summary>Intelligent Systems with Applications, 2024 Elsevier |
| 2025-6-24 | A rail defect detection framework under class-imbalanced conditions based on improved you only look once network | Y Ding et.al | paper | - | <summary>detail</summary>Engineering Applications of…, 2024 Elsevier |
| 2025-6-20 | From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images | Sebastian Hönel et.al | paper | - | - |
| 2025-6-16 | ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection | Xiem HoangVan et.al | paper | - | <summary>detail</summary>Published in Engineering Applications of Artificial Intelligence |
| 2025-6-12 | Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection | Emílio Dolgener Cantú et.al | paper | - | - |
| 2025-6-12 | Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control | Sajjad Rezvani Boroujeni et.al | paper | - | - |
| 2025-5-23 | Research on Defect Detection Method of Motor Control Board Based on Image Processing | Jingde Huang et.al | paper | - | - |
| 2025-5-15 | Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection | Hanzhe Liang et.al | paper | code | - |
| 2025-5-15 | Defect Detection in Photolithographic Patterns Using Deep Learning Models Trained on Synthetic Data | Prashant P. Shinde et.al | paper | - | - |
| 2025-5-12 | Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection | Sijin Sun et.al | paper | - | - |
| 2025-5-11 | Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection | Zhengyang Lu et.al | paper | - | - |
| 2025-5-11 | Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining | Ke Zhang et.al | paper | - | - |
| 2025-5-2 | A Comprehensive Survey on Machine Learning Driven Material Defect Detection | Jun Bai et.al | paper | - | <summary>detail</summary>ACM Computing Surveys |
| 2025-4-29 | SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects | Irina Ruzavina et.al | paper | - | <summary>detail</summary>Accepted by IJCNN 2025 |
| 2025-4-24 | Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees | Cheng Shen et.al | paper | - | <summary>detail</summary>Under Review |
| 2025-4-22 | LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements | Renyi Zhong et.al | paper | - | <summary>detail</summary>Accepted by ACM Transactions on Software Engineering and Methodology (TOSEM) |
| 2025-4-15 | CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection | Jincheng Kang et.al | paper | - | - |
| 2025-4-14 | Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics | Nikolai Röhrich et.al | paper | - | - |
| 2025-4-9 | MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning | Ylli Sadikaj et.al | paper | - | - |
| 2025-4-8 | Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark | Udayanga G. W. K. N. Gamage et.al | paper | - | <summary>detail</summary>A journal paper which submitted to Sage SHM journa and it is under review currently |
| 2025-3-31 | NeRF-Based defect detection | Tianqi et.al | paper | - | - |
| 2025-3-30 | Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection | Max Hort et.al | paper | - | <summary>detail</summary>Accepted for publication in Mutation 2025 at the 18th IEEE International Conference on Software Testing |
| 2025-3-27 | Multimodal surface defect detection from wooden logs for sawing optimization | Bořek Reich et.al | paper | - | - |
| 2025-3-20 | ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects | Paul J. Krassnig et.al | paper | code | - |
| 2025-3-5 | AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates | Adhish Anitha Vilasan et.al | paper | - | - |
| 2025-3-2 | Acoustic Anomaly Detection on UAM Propeller Defect with Acoustic dataset for Crack of drone Propeller (ADCP) | Juho Lee et.al | paper | - | - |
Defect Segmentation
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-24 | Defect detection of microscopic images of aluminum inclusions: Using semantic segmentation and generative methods | S John - 2024 - diva-portal.org et.al | paper | - | <summary>detail</summary>2024 diva portal.org |
| 2025-6-19 | Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation | G Kim- arXiv preprint arXiv:2409.13984 et.al | paper | code | - |
| 2025-6-17 | synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? | Johannes Flotzinger et.al | paper | - | - |
| 2025-6-16 | Latent Diffusion Models to Enhance the Performance of Visual Defect Segmentation Networks in Steel Surface Inspection | J Leiñena et.al | paper | - | <summary>detail</summary>Sensors, 2024 mdpi.com |
| 2025-6-15 | Teacher-Student Collaboration: Effective Semi-Supervised Model for Defect Instance Segmentation | B Ye et.al | paper | - | <summary>detail</summary>IEEE Transactions on Automation Science…, 2024 ieeexplore.ieee.org |
| 2025-6-10 | GPR Imagery Based Internal Defect Evaluation System for Railroad Tunnel Lining Using Real-time Instance Segmentation | S Long et.al | paper | - | <summary>detail</summary>IEEE Sensors…, 2024 ieeexplore.ieee.org |
| 2025-6-5 | Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO | SZ Rizvi et.al | paper | - | <summary>detail</summary>Computers and Electrical Engineering, 2024 Elsevier |
| 2025-6-4 | Steering knuckle surface defect detection and segmentation based on reverse residual distillation | S Zhou et.al | paper | - | <summary>detail</summary>…Applications of Artificial…, 2024 Elsevier |
| 2025-6-1 | Parameter-Efficient Fine-Tuning for Citrus Fruit Defect Segmentation Model Based on Text Prompt | Y Zhu et.al | paper | - | <summary>detail</summary>Available at SSRN 4944330 papers.ssrn.com |
| 2025-5-26 | Latent Space Segmentation model for Visual Surface Defect Inspection | M Li et.al | paper | - | <summary>detail</summary>IEEE Transactions on Instrumentation…, 2024 ieeexplore.ieee.org |
| 2025-5-24 | Context-Aware Adaptive Weighted Attention Network for Real-Time Surface Defect Segmentation | G Zhang et.al | paper | - | <summary>detail</summary>IEEE Transactions on…, 2024 ieeexplore.ieee.org |
| 2025-4-24 | Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees | Cheng Shen et.al | paper | - | <summary>detail</summary>Under Review |
| 2025-4-11 | Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce | Manuel Knott et.al | paper | code | <summary>detail</summary>Accepted as a paper to the 6th International Workshop on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2025 |
| 2025-4-9 | MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning | Ylli Sadikaj et.al | paper | - | - |
| 2025-2-11 | Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models | Tongkun Liu et.al | paper | code | - |
| 2025-1-30 | PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha et.al | paper | code | - |
| 2025-1-23 | Effective Defect Detection Using Instance Segmentation for NDI | Ashiqur Rahman et.al | paper | code | - |
| 2025-1-17 | Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography | Mohammed Salah et.al | paper | - | <summary>detail</summary>Pulse thermography |
| 2024-10-24 | Synth4Seg – Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization | Shancong Mou et.al | paper | - | - |
| 2024-10-1 | Application of Segment Anything Model for Civil Infrastructure Defect Assessment | Mohsen Ahmadi et.al | paper | - | - |
| 2024-8-31 | Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background | Biyuan Liu et.al | paper | - | - |
| 2024-8-19 | Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network | Rasha Alshawi et.al | paper | - | - |
| 2024-8-19 | Dynamic Label Injection for Imbalanced Industrial Defect Segmentation | Emanuele Caruso et.al | paper | code | <summary>detail</summary>ECCV 2024 VISION Workshop |
| 2024-6-26 | An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything | Israt Zarin Era et.al | paper | - | - |
| 2024-4-17 | CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect | Minh Tran et.al | paper | code | <summary>detail</summary>Poultry Science Journal |
| 2024-3-17 | LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation | Hanze Ding et.al | paper | - | - |
| 2024-2-6 | Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing | Jongmin Yu et.al | paper | - | <summary>detail</summary>the ICRA 2024 |
| 2023-12-21 | Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation | Rasha Alshawi et.al | paper | - | <summary>detail</summary>under review in IEEE Transactions on Artificial Intelligence |
| 2023-12-8 | Continual learning for surface defect segmentation by subnetwork creation and selection | Aleksandr Dekhovich et.al | paper | - | - |
| 2023-12-6 | Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation | Weixi Wang et.al | paper | - | - |
| 2023-11-16 | Segment Anything in Defect Detection | Bozhen Hu et.al | paper | - | - |
| 2023-10-24 | Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images | Jianye Yi et.al | paper | - | - |
| 2023-10-3 | Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection | Lakshmi Nair et.al | paper | - | <summary>detail</summary>MSC Class:I |
| 2023-9-28 | Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation | Zhen Qu et.al | paper | code | <summary>detail</summary>submit to IEEE Transactions on Instrumentation & Measurement |
Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-26 | mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale | Xiaona Zhou et.al | paper | - | - |
| 2025-6-26 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | - | - |
| 2025-6-26 | FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection | Long Tian et.al | paper | - | - |
| 2025-6-26 | Hyperspectral Sensor Management for UAS: Performance Analysis of Context-Based System Architectures for Camouflage and UXO Anomaly Detection… | L Eckel et.al | paper | - | <summary>detail</summary>Drones, 2024 mdpi.com |
| 2025-6-26 | Research on carotid artery plaque anomaly detection algorithm based on ultrasound images | Y Li et.al | paper | - | <summary>detail</summary>Computers in Biology and…, 2024 Elsevier |
| 2025-6-26 | Unsupervised Learning Framework with Memory-augmented Transformer for Multivariate Time Series Anomaly Detection | 송준호 - 2024 - s-space.snu.ac.kr et.al | paper | - | <summary>detail</summary>2024 s space.snu.ac.kr |
| 2025-6-26 | Adaptive loitering anomaly detection based on motion states | H Li et.al | paper | - | <summary>detail</summary>Multimedia Tools and Applications, 2024 Springer |
| 2025-6-25 | Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series | Laura Boggia et.al | paper | - | <summary>detail</summary>Submitted to VLDB 2026 conference |
| 2025-6-25 | E-ABIN: an Explainable module for Anomaly detection in BIological Networks | Ugo Lomoio et.al | paper | - | - |
| 2025-6-25 | Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection | Y Gu et.al | paper | code | - |
| 2025-6-25 | A Taxonomic Framework for Neural Network Based Anomaly Detection in Bridge Monitoring | I Bayane et.al | paper | - | <summary>detail</summary>Available at SSRN 4968826 papers.ssrn.com |
| 2025-6-25 | Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection | J Lyu et.al | paper | code | - |
| 2025-6-25 | Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors | R Gallon et.al | paper | code | - |
| 2025-6-25 | Design of big data anomaly detection model based on random forest algorithm | S Shijun et.al | paper | - | <summary>detail</summary>Scientific Insights and Discoveries Review, 2024 crestapress.org |
| 2025-6-25 | TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model | C Wei et.al | paper | - | <summary>detail</summary>Computers in Industry, 2025 Elsevier |
| 2025-6-24 | Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches | Ben Jacobson-Bell et.al | paper | - | - |
| 2025-6-24 | IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling – a Multi-Center, Multi-Cancer, and Multi-Tracer Study | Shadab Ahamed et.al | paper | code | - |
| 2025-6-23 | Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection | Ziqing Zhou et.al | paper | - | - |
| 2025-6-23 | Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning | Renzi Meng et.al | paper | - | - |
| 2025-6-23 | Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology | Can Cui et.al | paper | - | - |
| 2025-6-23 | Multimodal Anomaly Detection with a Mixture-of-Experts | Christoph Willibald et.al | paper | - | - |
| 2025-6-23 | A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series | Ziquan Deng et.al | paper | - | <summary>detail</summary>The manuscript is currently under review |
| 2025-6-23 | A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection | Shan Ali et.al | paper | - | <summary>detail</summary>Accepted by EMSE’25 |
| 2025-6-23 | Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017 | Zhaoyang Xu et.al | paper | - | <summary>detail</summary>submitted to IEEE CNS 2025 |
| 2025-6-23 | Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection | Muhao Xu et.al | paper | code | - |
| 2025-6-23 | Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection | Anja Delić et.al | paper | - | - |
| 2025-6-23 | Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals | Muhammad Usama et.al | paper | code | - |
| 2025-6-22 | Cross-Architecture Knowledge Distillation (KD) for Retinal Fundus Image Anomaly Detection on NVIDIA Jetson Nano | Berk Yilmaz et.al | paper | - | - |
| 2025-6-22 | TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | Xiangfei Qiu et.al | paper | code | <summary>detail</summary>Accepted by PVLDB2025 |
| 2025-6-22 | HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection | Qizhi Zheng et.al | paper | - | - |
| 2025-6-22 | A real-time anomaly detection method for robots based on a flexible and sparse latent space | Taewook Kang et.al | paper | code | - |
| 2025-6-21 | Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems | Tyler Cultice et.al | paper | - | - |
| 2025-6-21 | The Blind Spot of BGP Anomaly Detection: Why LSTM Autoencoders Fail on Real-World Outages | Samuel Oluwafemi Adebayo et.al | paper | - | - |
| 2025-6-20 | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network | Dong Xiao et.al | paper | - | <summary>detail</summary>ICML 2025 Spotlight |
| 2025-6-20 | Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning | Shaoyu Dou et.al | paper | - | - |
3D Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-26 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | - | - |
| 2025-6-3 | DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection | Kecen Li et.al | paper | code | <summary>detail</summary>Code available at https://github |
| 2025-5-28 | Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products | J Liu et.al | paper | code | - |
| 2025-5-27 | Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learning | Hanzhe Liang et.al | paper | - | <summary>detail</summary>arXiv admin comment: This version has been removed by arXiv administrators as the submitter did not have the rights to agree to the license at the time of submission |
| 2025-5-27 | Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume | Z Zhang et.al | paper | code | - |
| 2025-5-21 | Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images | N Alsahanova et.al | paper | - | <summary>detail</summary>Information…, 2025 Elsevier |
| 2025-5-15 | Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection | Hanzhe Liang et.al | paper | code | - |
| 2025-5-4 | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data | X Zhou et.al | paper | - | <summary>detail</summary>ijcai.org |
| 2025-5-3 | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection | Jiayi Cheng et.al | paper | - | - |
| 2025-5-1 | Anomaly Behavior Detection in Crowd via Lightweight 3D Convolution | J Wang et.al | paper | - | <summary>detail</summary>International Conference on Intelligent Computing, 2024 Springer |
| 2025-4-28 | 3D Industrial anomaly detection via dual reconstruction network | Z Li et.al | paper | - | <summary>detail</summary>Applied Intelligence, 2024 Springer |
| 2025-4-26 | Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection | A Niaz et.al | paper | - | <summary>detail</summary>IEEE Access, 2024 ieeexplore.ieee.org |
| 2025-4-22 | Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning | H Zhu et.al | paper | code | - |
| 2025-4-19 | Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection | Wenbing Zhu et.al | paper | code | - |
| 2025-4-17 | IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection | B Jiang et.al | paper | - | <summary>detail</summary>ACM Multimedia 2024 openreview.net |
| 2025-4-13 | R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection | Z Zhou et.al | paper | code | - |
| 2025-4-7 | IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR | Ziyun Liang et.al | paper | - | - |
| 2025-3-30 | Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces | Hao-Chun Yang et.al | paper | - | - |
| 2025-3-21 | A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection | Yuxuan Lin et.al | paper | code | <summary>detail</summary>Accepted by Information Fusion |
| 2025-3-10 | Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | <summary>detail</summary>AAAI2025 Poster |
| 2025-3-3 | Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | - |
| 2025-2-16 | Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection | Jiaxiang Wang et.al | paper | - | - |
| 2025-2-9 | A 3D Multimodal Feature for Infrastructure Anomaly Detection | Yixiong Jing et.al | paper | code | - |
| 2024-12-23 | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective | Kaifang Long et.al | paper | - | - |
| 2024-12-22 | PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection | Qihang Zhou et.al | paper | - | <summary>detail</summary>NeurIPS 2024 |
| 2024-12-17 | PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection | Jianan Ye et.al | paper | - | - |
| 2024-10-15 | SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection | Yizhe Liu et.al | paper | - | - |
| 2024-6-27 | Looking 3D: Anomaly Detection with 2D-3D Alignment | Ankan Bhunia et.al | paper | code | <summary>detail</summary>CVPR’24 |
| 2024-6-27 | CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation | Zuo Zuo et.al | paper | - | - |
| 2024-6-4 | M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising | Chengjie Wang et.al | paper | - | - |
| 2024-4-11 | 3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces | Xuanming Cao et.al | paper | - | - |
Multimodal Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-26 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | - | - |
| 2025-6-23 | Multimodal Anomaly Detection with a Mixture-of-Experts | Christoph Willibald et.al | paper | - | - |
| 2025-6-20 | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network | Dong Xiao et.al | paper | - | <summary>detail</summary>ICML 2025 Spotlight |
| 2025-6-20 | Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0 | L Capogrosso et.al | paper | - | <summary>detail</summary>2024 ceur ws.org |
| 2025-6-16 | Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection | Y Kaneko et.al | paper | code | - |
| 2025-6-8 | Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning | Z Sun et.al | paper | code | - |
| 2025-6-4 | MemoryOut: Learning Principal Features via Multimodal Sparse Filtering Network for Semi-supervised Video Anomaly Detection | Juntong Li et.al | paper | code | - |
| 2025-5-28 | OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning | Shifang Zhao et.al | paper | - | - |
| 2025-5-21 | Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images | N Alsahanova et.al | paper | - | <summary>detail</summary>Information…, 2025 Elsevier |
| 2025-5-19 | Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models | Kiarash Naghavi Khanghah et.al | paper | - | <summary>detail</summary>ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE2025 |
| 2025-5-8 | Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection | Sungheon Jeong et.al | paper | code | - |
| 2025-5-2 | DIP-ECOD: improving anomaly detection in multimodal distributions | K Yang et.al | paper | - | <summary>detail</summary>Conference on Applied…, 2024 pure.qub.ac.uk |
| 2025-4-17 | LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection | Weijia Li et.al | paper | - | - |
| 2025-3-28 | A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection | G Yang et.al | paper | - | <summary>detail</summary>2024 International Joint…, 2024 ieeexplore.ieee.org |
| 2025-3-25 | Improving the accuracy of Anomaly Detection in Multimodal Sensors using 1D-CNN | M Imad et.al | paper | - | <summary>detail</summary>Proceedings of the 17th…, 2024 dl.acm.org |
| 2025-3-21 | A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection | Yuxuan Lin et.al | paper | code | <summary>detail</summary>Accepted by Information Fusion |
| 2025-3-19 | Multimodal Industrial Anomaly Detection by Crossmodal Reverse Distillation | Xinyue Liu et.al | paper | - | - |
| 2025-3-17 | Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models | Jiacong Xu et.al | paper | code | - |
| 2025-3-12 | Weakly-supervised anomaly detection for multimodal data distributions | X Tan et.al | paper | code | - |
| 2025-3-9 | Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Supplementary Material | A Costanzino et.al | paper | - | <summary>detail</summary>openaccess.thecvf.com |
| 2025-3-3 | M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising | C Wang et.al | paper | code | - |
| 2025-2-24 | Can Multimodal LLMs Perform Time Series Anomaly Detection? | Xiongxiao Xu et.al | paper | code | - |
| 2025-2-20 | MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection | Xi Jiang et.al | paper | code | <summary>detail</summary>Accepted by ICLR 2025 |
| 2025-2-18 | Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach | Thomas Debelle et.al | paper | - | - |
| 2025-2-10 | Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection | You Zhou et.al | paper | - | - |
| 2025-2-9 | A 3D Multimodal Feature for Infrastructure Anomaly Detection | Yixiong Jing et.al | paper | code | - |
| 2025-1-27 | Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection? | Zhiling Chen et.al | paper | - | - |
| 2025-1-17 | Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection | Yuanze Li et.al | paper | code | - |
| 2024-12-23 | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective | Kaifang Long et.al | paper | - | - |
| 2024-9-30 | VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection | Huilin Deng et.al | paper | - | - |
| 2024-9-26 | AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving | Daniel Bogdoll et.al | paper | - | <summary>detail</summary>Daniel Bogdoll |
| 2024-9-23 | Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation | Wenbo Sui et.al | paper | - | - |
| 2024-7-8 | Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping | Alex Costanzino et.al | paper | - | <summary>detail</summary>CVPR 2024 |
Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-6-26 | PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling | Yuxuan Yue et.al | paper | - | - |
| 2025-6-24 | AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models | Zeyu Li et.al | paper | - | - |
| 2025-6-24 | CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization | KL Navaneet et.al | paper | code | <summary>detail</summary>ecva.net |
| 2025-6-24 | VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models | Y Liu et.al | paper | code | - |
| 2025-6-23 | CommVQ: Commutative Vector Quantization for KV Cache Compression | Junyan Li et.al | paper | code | <summary>detail</summary>ICML 2025 poster |
| 2025-6-21 | StainPIDR: A Pathological Image Decouplingand Reconstruction Method for Stain Normalization Based on Color Vector Quantization and Structure Restaining | Zheng Chen et.al | paper | - | - |
| 2025-6-18 | NDVQ: Robust Neural Audio Codec with Normal Distribution-Based Vector Quantization | Z Niu et.al | paper | code | - |
| 2025-6-18 | Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization | Y Cai et.al | paper | - | <summary>detail</summary>Applied Soft Computing, 2024 Elsevier |
| 2025-6-17 | Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study | Xianghong Fang et.al | paper | - | - |
| 2025-6-17 | Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks | C Huang et.al | paper | - | <summary>detail</summary>Advanced…, 2024 Wiley Online Library |
| 2025-6-11 | STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization | Hao Li et.al | paper | - | <summary>detail</summary>Accepted by ICML 2025 Spotlight |
| 2025-6-9 | VQCrystal: Leveraging Vector Quantization for Discovery of Stable Crystal Structures | ZJ Qiu et.al | paper | - | - |
| 2025-6-8 | Vector-Quantized Vision Foundation Models for Object-Centric Learning | Rongzhen Zhao et.al | paper | code | - |
| 2025-6-5 | Kernel $k$-Medoids as General Vector Quantization | Thore Gerlach et.al | paper | - | - |
| 2025-6-4 | VQ-DeepVSC: A Dual-Stage Vector Quantization Framework for Video Semantic Communication | Y Miao et.al | paper | - | - |
| 2025-6-3 | A$^2$ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization | Junhui He et.al | paper | - | - |
| 2025-6-3 | Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization | M Vali et.al | paper | - | <summary>detail</summary>Proceedings of the Interspeech, 2024 research.aalto.fi |
| 2025-6-2 | Efficient Generative Modeling with Residual Vector Quantization-Based Tokens | Jaehyeon Kim et.al | paper | - | <summary>detail</summary>ICML 2025 |
| 2025-6-2 | PENGENALAN POLA WAJAH MENGGUNAKAN WEBCAM UNTUK ABSENSI DENGAN METODE LEARNING VECTOR QUANTIZATION (LVQ) | P Serianti et.al | paper | - | <summary>detail</summary>JOURNAL OF INFORMATICS AND…, 2024 jurnal.uui.ac.id |
| 2025-6-1 | Weakly Supervised Vector Quantization for Whole Slide Images Classification | D Shen et.al | paper | - | <summary>detail</summary>bioRxiv, 2024 biorxiv.org |
| 2025-5-31 | Concept-Centric Token Interpretation for Vector-Quantized Generative Models | Tianze Yang et.al | paper | code | - |
| 2025-5-27 | Autoregressive Speech Synthesis without Vector Quantization | Lingwei Meng et.al | paper | code | <summary>detail</summary>ACL 2025 Main |
| 2025-5-23 | NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache | Donghyun Son et.al | paper | - | - |
| 2025-5-19 | BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation | Jilong Li et.al | paper | - | - |
| 2025-5-18 | Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach | Chao Chen et.al | paper | code | <summary>detail</summary>Accepted by KDD2025 research track |
| 2025-5-15 | VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits | Jintian Shao et.al | paper | - | - |
| 2025-5-9 | A vector quantized masked autoencoder for audiovisual speech emotion recognition | Samir Sadok et.al | paper | code | - |
| 2025-5-5 | RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction | Aiman Farooq et.al | paper | - | - |
| 2025-5-2 | RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization | Chen Xu et.al | paper | - | - |
| 2025-4-28 | TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate | Amir Zandieh et.al | paper | - | - |
| 2025-4-27 | Variable Bitrate Residual Vector Quantization for Audio Coding | Yunkee Chae et.al | paper | - | <summary>detail</summary>ICASSP 2025 camera ready version |
| 2025-4-18 | Lightweight Road Environment Segmentation using Vector Quantization | Jiyong Kwag et.al | paper | - | <summary>detail</summary>Journal ref:ISPRS Ann |
| 2025-4-17 | Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection | Long Zeng et.al | paper | - | <summary>detail</summary>Journal ref:WWW 2025 |
| 2025-4-16 | GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization | Huizhe Zhang et.al | paper | - | <summary>detail</summary>work in progress |
| 2025-4-10 | Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization | Constantinos Tsakonas et.al | paper | - | - |