Daily Papers
- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
Updated on 2025.04.04
Defect Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-4-2 | VQGNet: An Unsupervised Defect Detection Approach for Complex Textured Steel Surfaces | R Yu et.al | paper | - | <summary>detail</summary>Sensors, 2024 mdpi.com |
| 2025-4-2 | 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 |
| 2025-4-2 | 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 |
| 2025-4-2 | 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 |
| 2025-4-2 | Improved U2Net-Based Surface Defect Detection Method for Blister Tablets | J Zhou et.al | paper | - | <summary>detail</summary>Algorithms, 2024 mdpi.com |
| 2025-4-2 | 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 |
| 2025-4-2 | 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 |
| 2025-4-1 | Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 | Y Liu et.al | paper | - | <summary>detail</summary>Applied Sciences, 2024 mdpi.com |
| 2025-4-1 | 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 |
| 2025-4-1 | 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 |
| 2025-3-31 | 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 | - |
| 2025-3-6 | Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection | Sijin Sun et.al | paper | - | - |
| 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 | - | - |
| 2025-2-28 | Background-Aware Defect Generation for Robust Industrial Anomaly Detection | Youngjae Cho et.al | paper | - | - |
| 2025-2-27 | A Survey on Foundation-Model-Based Industrial Defect Detection | Tianle Yang et.al | paper | - | <summary>detail</summary>This work has been submitted to the IEEE for possible publication |
| 2025-2-25 | Improved YOLOv7x-Based Defect Detection Algorithm for Power Equipment | Jin Hou et.al | paper | - | - |
| 2025-2-15 | SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image | Qian Jin et.al | paper | - | <summary>detail</summary>Published in ACM/IEEE International Conference on Computer-Aided Design (ICCAD) |
| 2025-2-13 | Unit Testing Past vs. Present: Examining LLMs’ Impact on Defect Detection and Efficiency | Rudolf Ramler et.al | paper | - | - |
| 2025-2-11 | YOLO Network For Defect Detection In Optical lenses | Habib Yaseen et.al | paper | - | - |
| 2025-2-10 | In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers | Israt Zarin Era et.al | paper | - | - |
| 2025-2-10 | Improved YOLOv7 model for insulator defect detection | Zhenyue Wang et.al | paper | - | - |
| 2025-2-9 | An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet | Hongyu Liu et.al | paper | - | - |
| 2025-2-3 | SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection | Peizhe Zhao et.al | paper | - | - |
| 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 | High-Precision Fabric Defect Detection via Adaptive Shape Convolutions and Large Kernel Spatial Modeling | Shuai Wang et.al | paper | - | - |
| 2025-1-23 | Effective Defect Detection Using Instance Segmentation for NDI | Ashiqur Rahman et.al | paper | code | - |
| 2025-1-15 | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection | Qisen Cheng et.al | paper | - | - |
| 2025-1-12 | Defect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv11 | Jiayi Huang et.al | paper | - | - |
| 2025-1-11 | Enhancing The Open Network: Definition and Automated Detection of Smart Contract Defects | Hao Song et.al | paper | - | <summary>detail</summary>The paper has been accepted for presentation at the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025) |
| 2025-1-6 | Detecting Defective Wafers Via Modular Networks | Yifeng Zhang et.al | paper | - | - |
| 2024-12-25 | Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents | Kaiwen Ning et.al | paper | - | - |
Defect Segmentation
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-4-1 | 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 |
| 2025-3-27 | Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation | G Kim- arXiv preprint arXiv:2409.13984 et.al | paper | code | - |
| 2025-3-24 | 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 |
| 2025-3-23 | 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 |
| 2025-3-18 | 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 |
| 2025-3-13 | 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 |
| 2025-3-12 | 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 |
| 2025-3-9 | 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 |
| 2025-3-3 | 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 |
| 2025-3-1 | 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 |
| 2025-2-11 | 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 |
| 2024-11-25 | Weakly supervised image segmentation for defect-based grading of fresh produce | Manuel Knott et.al | paper | - | - |
| 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 |
| 2023-9-22 | CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation | Xiaoheng Jiang et.al | paper | - | - |
| 2023-8-16 | SEMI-DiffusionInst: A Diffusion Model Based Approach for Semiconductor Defect Classification and Segmentation | Vic De Ridder et.al | paper | - | - |
| 2023-6-28 | Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection | Zhewei Chen et.al | paper | - | - |
Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-4-3 | TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection | Yoon Gyo Jung et.al | paper | - | <summary>detail</summary>CVPR2025 |
| 2025-4-3 | End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection | Boje Deforce et.al | paper | - | <summary>detail</summary>SDM 2025 |
| 2025-4-3 | VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection | Sinchee Chin et.al | paper | - | - |
| 2025-4-3 | Distributed Log-driven Anomaly Detection System based on Evolving Decision Making | Zhuoran Tan et.al | paper | - | <summary>detail</summary>This paper has been accepted at 45th IEEE International Conference on Distributed Computing Systems |
| 2025-4-3 | Networking Systems for Video Anomaly Detection: A Tutorial and Survey | Jing Liu et.al | paper | code | <summary>detail</summary>ACM Computing Surveys |
| 2025-4-3 | 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 |
| 2025-4-3 | 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 |
| 2025-4-3 | 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 |
| 2025-4-3 | Adaptive loitering anomaly detection based on motion states | H Li et.al | paper | - | <summary>detail</summary>Multimedia Tools and Applications, 2024 Springer |
| 2025-4-2 | CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection | Songran Bai et.al | paper | - | - |
| 2025-4-2 | Anomaly Detection for Hybrid Butterfly Subspecies via Probability Filtering | Bo-Kai Ruan et.al | paper | code | <summary>detail</summary>AAAI’25 Workshop in Anomaly Detection in Scientific Domains |
| 2025-4-2 | Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection | Jia Guo et.al | paper | - | <summary>detail</summary>IEEE/CVF CVPR 2025 |
| 2025-4-2 | Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics | Sebastian Springer et.al | paper | code | <summary>detail</summary>Code Availability: The code used to generate the results of this study is available at GitHub via the link: https://github |
| 2025-4-2 | Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection | Gabriele Greco et.al | paper | - | <summary>detail</summary>Passed first review at 2025 International Joint Conference on Neural Networks (IJCNN) |
| 2025-4-2 | Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection | Y Gu et.al | paper | code | - |
| 2025-4-2 | 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 |
| 2025-4-2 | Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection | J Lyu et.al | paper | code | - |
| 2025-4-2 | Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors | R Gallon et.al | paper | code | - |
| 2025-4-2 | 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 |
| 2025-4-2 | 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 |
| 2025-4-1 | Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss | Arnaud Bougaham et.al | paper | code | - |
| 2025-4-1 | FlowSeries: Anomaly Detection in Financial Transaction Flows | Arthur Capozzi et.al | paper | - | - |
| 2025-4-1 | Bi-Grid Reconstruction for Image Anomaly Detection | Huichuan Huang et.al | paper | - | - |
| 2025-3-31 | View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis | Subin Varghese et.al | paper | code | - |
| 2025-3-31 | A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data | Qiuliuyang Bao et.al | paper | - | - |
| 2025-3-31 | VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models | Muchao Ye et.al | paper | - | <summary>detail</summary>Accepted in CVPR 2025 |
| 2025-3-31 | Federated Structured Sparse PCA for Anomaly Detection in IoT Networks | Chenyi Huang et.al | paper | - | - |
| 2025-3-31 | GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks | Lahiru Akmeemana et.al | paper | - | - |
| 2025-3-31 | DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection | Yingli Shen 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 | - | - |
| 2025-3-30 | Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection | Aimira Baitieva et.al | paper | code | - |
| 2025-3-29 | Building Machine Learning Challenges for Anomaly Detection in Science | Elizabeth G. Campolongo et.al | paper | - | - |
| 2025-3-29 | Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains | Vincent Jacob et.al | paper | - | - |
| 2025-3-28 | A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor | Maida Wang et.al | paper | - | - |
| 2025-3-28 | Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection | Jiajie Quan et.al | paper | code | - |
3D Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 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 |
| 2025-3-5 | Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products | J Liu et.al | paper | code | - |
| 2025-3-4 | Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume | Z Zhang et.al | paper | code | - |
| 2025-3-3 | Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | - |
| 2025-2-26 | 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 |
| 2025-2-16 | 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 | - |
| 2025-2-9 | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data | X Zhou et.al | paper | - | <summary>detail</summary>ijcai.org |
| 2025-2-6 | Anomaly Behavior Detection in Crowd via Lightweight 3D Convolution | J Wang et.al | paper | - | <summary>detail</summary>International Conference on Intelligent Computing, 2024 Springer |
| 2025-2-3 | 3D Industrial anomaly detection via dual reconstruction network | Z Li et.al | paper | - | <summary>detail</summary>Applied Intelligence, 2024 Springer |
| 2025-2-1 | 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 |
| 2025-1-28 | Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning | H Zhu et.al | paper | code | - |
| 2025-1-23 | IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection | B Jiang et.al | paper | - | <summary>detail</summary>ACM Multimedia 2024 openreview.net |
| 2025-1-19 | R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection | Z Zhou 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 | - | - |
| 2024-10-13 | DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection | Kecen Li 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 | - | - |
| 2024-4-10 | SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection | Mathis Kruse et.al | paper | - | <summary>detail</summary>Visual Anomaly and Novelty Detection 2 |
| 2024-1-17 | Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection | Yuanpeng Tu et.al | paper | - | - |
| 2023-11-29 | Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network | Wenqiao Li et.al | paper | code | - |
| 2023-11-2 | Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation | Vitjan Zavrtanik et.al | paper | - | <summary>detail</summary>WACV 2024 |
| 2023-8-31 | EasyNet: An Easy Network for 3D Industrial Anomaly Detection | Ruitao Chen et.al | paper | - | - |
| 2023-5-9 | Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples | Jianjian Qin et.al | paper | - | - |
Multimodal Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-3-28 | 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 |
| 2025-3-24 | Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection | Y Kaneko et.al | paper | code | - |
| 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 | - |
| 2025-3-16 | Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning | Z Sun et.al | paper | code | - |
| 2025-2-26 | 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 |
| 2025-2-24 | 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 | - |
| 2025-2-7 | DIP-ECOD: improving anomaly detection in multimodal distributions | K Yang et.al | paper | - | <summary>detail</summary>Conference on Applied…, 2024 pure.qub.ac.uk |
| 2025-1-27 | 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 | - |
| 2025-1-3 | 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 |
| 2024-12-31 | 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 |
| 2024-12-23 | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective | Kaifang Long et.al | paper | - | - |
| 2024-12-18 | Weakly-supervised anomaly detection for multimodal data distributions | X Tan et.al | paper | code | - |
| 2024-12-15 | Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Supplementary Material | A Costanzino et.al | paper | - | <summary>detail</summary>openaccess.thecvf.com |
| 2024-12-9 | M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising | C Wang et.al | paper | code | - |
| 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 |
| 2024-5-21 | Multimodal video analysis for crowd anomaly detection using open access tourism cameras | Alejandro Dionis-Ros et.al | paper | - | - |
| 2024-3-6 | Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots | Youngjae Yoo et.al | paper | - | - |
| 2024-3-5 | TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network | Nhat-Tan Bui et.al | paper | code | <summary>detail</summary>ISBI 2024 |
| 2023-10-17 | MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection | Chaoyue Ding et.al | paper | - | <summary>detail</summary>Information Fusion 2023 accepted |
| 2023-9-26 | SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets | Daria Reshetova et.al | paper | - | <summary>detail</summary>Extended version of the accepted research track paper at the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023) |
| 2023-9-7 | Multimodal Industrial Anomaly Detection via Hybrid Fusion | Yue Wang et.al | paper | code | <summary>detail</summary>Accepted by CVPR 2023 |
Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-4-1 | Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion | Bac Nguyen et.al | paper | - | - |
| 2025-4-1 | CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization | KL Navaneet et.al | paper | code | <summary>detail</summary>ecva.net |
| 2025-4-1 | VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models | Y Liu et.al | paper | code | - |
| 2025-3-26 | NDVQ: Robust Neural Audio Codec with Normal Distribution-Based Vector Quantization | Z Niu et.al | paper | code | - |
| 2025-3-26 | 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 |
| 2025-3-25 | Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks | C Huang et.al | paper | - | <summary>detail</summary>Advanced…, 2024 Wiley Online Library |
| 2025-3-18 | MAG: Multi-Modal Aligned Autoregressive Co-Speech Gesture Generation without Vector Quantization | Binjie Liu et.al | paper | - | - |
| 2025-3-17 | VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation | Jiawei Wang et.al | paper | - | - |
| 2025-3-17 | STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading | Yilei Zhao et.al | paper | - | - |
| 2025-3-17 | VQCrystal: Leveraging Vector Quantization for Discovery of Stable Crystal Structures | ZJ Qiu et.al | paper | - | - |
| 2025-3-15 | Restructuring Vector Quantization with the Rotation Trick | Christopher Fifty et.al | paper | code | - |
| 2025-3-12 | ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba | Juncan Deng et.al | paper | - | - |
| 2025-3-12 | VQ-DeepVSC: A Dual-Stage Vector Quantization Framework for Video Semantic Communication | Y Miao et.al | paper | - | - |
| 2025-3-11 | SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting | Shuaiting Li et.al | paper | - | - |
| 2025-3-11 | 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 |
| 2025-3-10 | Task Vector Quantization for Memory-Efficient Model Merging | Youngeun Kim et.al | paper | - | - |
| 2025-3-10 | 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 |
| 2025-3-9 | PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization | Honglin Li et.al | paper | - | - |
| 2025-3-9 | Vector Quantized Feature Fields for Fast 3D Semantic Lifting | George Tang et.al | paper | - | - |
| 2025-3-9 | Weakly Supervised Vector Quantization for Whole Slide Images Classification | D Shen et.al | paper | - | <summary>detail</summary>bioRxiv, 2024 biorxiv.org |
| 2025-3-7 | CrowdSurfer: Sampling Optimization Augmented with Vector-Quantized Variational AutoEncoder for Dense Crowd Navigation | Naman Kumar et.al | paper | - | <summary>detail</summary>IEEE ICRA 2025 |
| 2025-3-6 | VQEL: Enabling Self-Developed Symbolic Language in Agents through Vector Quantization in Emergent Language Games | Mohammad Mahdi Samiei Paqaleh et.al | paper | - | - |
| 2025-3-3 | VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference | Zihan Liu et.al | paper | - | - |
| 2025-3-2 | Autoregressive Video Generation without Vector Quantization | Haoge Deng et.al | paper | code | <summary>detail</summary>ICLR 2025 |
| 2025-2-27 | Vector-Quantized Vision Foundation Models for Object-Centric Learning | Rongzhen Zhao et.al | paper | - | - |
| 2025-2-26 | BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting | Weiyan Wang et.al | paper | - | - |
| 2025-2-19 | CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs | Yuzhuang Xu et.al | paper | - | <summary>detail</summary>7 figures |
| 2025-2-18 | A$^2$ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization | Junhui He et.al | paper | - | - |
| 2025-2-13 | SQ-GAN: Semantic Image Communications Using Masked Vector Quantization | Francesco Pezone et.al | paper | - | - |
| 2025-2-3 | SQUASH: Serverless and Distributed Quantization-based Attributed Vector Similarity Search | Joe Oakley et.al | paper | - | - |
| 2025-1-31 | Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models | Jiwan Seo et.al | paper | - | <summary>detail</summary>Under review |
| 2025-1-24 | Hierarchical Vector Quantization for Unsupervised Action Segmentation | Federico Spurio et.al | paper | - | <summary>detail</summary>To be published in Conference on Artificial Intelligence (AAAI) 2025 |
| 2025-1-17 | 4bit-Quantization in Vector-Embedding for RAG | Taehee Jeong et.al | paper | code | - |
| 2025-1-15 | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection | Qisen Cheng et.al | paper | - | - |
| 2025-1-15 | Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever | Xingyan Bin et.al | paper | - | - |