Daily Papers
- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
Updated on 2026.02.03
Defect Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-2-2 | Cross-Modal Alignment and Fusion for RGB-D Transmission-Line Defect Detection | Jiaming Cui et.al | paper | - | - |
| 2026-1-22 | A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection | Yangjie Xiao et.al | paper | code | - |
| 2026-1-16 | SME-YOLO: A Real-Time Detector for Tiny Defect Detection on PCB Surfaces | Meng Han et.al | paper | - | - |
| 2026-1-15 | NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM | Yuanzheng Niu et.al | paper | - | - |
| 2026-1-13 | LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data | Jackie Alex et.al | paper | - | - |
| 2026-1-9 | SSR: Safeguarding Staking Rewards by Defining and Detecting Logical Defects in DeFi Staking | Zewei Lin et.al | paper | - | - |
| 2026-1-1 | Application Research of a Deep Learning Model Integrating CycleGAN and YOLO in PCB Infrared Defect Detection | Chao Yang et.al | paper | - | - |
| 2025-12-16 | TACK Tunnel Data (TTD): A Benchmark Dataset for Deep Learning-Based Defect Detection in Tunnels | Andreas Sjölander et.al | paper | - | - |
| 2025-12-12 | A Comparative Analysis of Semiconductor Wafer Map Defect Detection with Image Transformer | Sushmita Nath et.al | paper | - | <summary>detail</summary>submit/7075585 |
| 2025-12-11 | Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data | Jessica Plassmann et.al | paper | - | - |
| 2025-12-10 | Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation | Nadeem Nazer et.al | paper | - | - |
| 2025-12-5 | SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection | Peizhe Zhao et.al | paper | - | - |
| 2025-12-5 | Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection | Jessica Plassmann et.al | paper | - | - |
| 2025-11-25 | Automated Neural Architecture Design for Industrial Defect Detection | Yuxi Liu et.al | paper | code | - |
| 2025-11-17 | Saliency-Guided Deep Learning for Bridge Defect Detection in Drone Imagery | Loucif Hebbache et.al | paper | - | - |
| 2025-11-13 | TinyDef-DETR: A Transformer-Based Framework for Defect Detection in Transmission Lines from UAV Imagery | Feng Shen et.al | paper | - | - |
| 2025-11-4 | Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning | Botong. Zhao et.al | paper | - | - |
| 2025-10-28 | Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades | Samuel Del Fré et.al | paper | - | - |
| 2025-10-21 | Comparative Analysis of Object Detection Algorithms for Surface Defect Detection | Arpan Maity et.al | paper | - | - |
| 2025-10-16 | Real-Time Surgical Instrument Defect Detection via Non-Destructive Testing | Qurrat Ul Ain et.al | paper | - | - |
| 2025-10-16 | BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemble | Brandon Hill et.al | paper | - | <summary>detail</summary>This paper has been submitted to IEEE/CVF WACV 2026 Applications track and is currently under review |
| 2025-10-15 | InfraGPT Smart Infrastructure: An End-to-End VLM-Based Framework for Detecting and Managing Urban Defects | Ibrahim Sheikh Mohamed et.al | paper | - | - |
| 2025-10-15 | Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects | Hang-Cheng Dong et.al | paper | - | - |
| 2025-10-8 | Transformer-Based Indirect Structural Health Monitoring of Rail Infrastructure with Attention-Driven Detection and Localization of Transient Defects | Sizhe Ma et.al | paper | - | <summary>detail</summary>Preprint presented at the 15th International Workshop on Structural Health Monitoring (IWSHM) |
| 2025-10-7 | Kaputt: A Large-Scale Dataset for Visual Defect Detection | Sebastian Höfer et.al | paper | code | <summary>detail</summary>ICCV 2025 |
Defect Segmentation
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-1-22 | A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection | Yangjie Xiao et.al | paper | code | - |
| 2025-12-10 | Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation | Nadeem Nazer et.al | paper | - | - |
| 2025-11-24 | A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector | Linxin Hua et.al | paper | - | - |
| 2025-11-8 | Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology | Bingyang Guo et.al | paper | - | - |
| 2025-11-6 | KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning | Md Meftahul Ferdaus et.al | paper | code | <summary>detail</summary>This work has been submitted to the IEEE for possible publication |
| 2025-10-15 | Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects | Hang-Cheng Dong et.al | paper | - | - |
| 2025-10-6 | Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation | Christina Thrainer et.al | paper | - | - |
| 2025-10-1 | Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning | Andrés Laveda-Martínez et.al | paper | - | - |
| 2025-9-11 | Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality | Botong Zhao et.al | paper | - | - |
| 2025-8-6 | MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning | Ylli Sadikaj et.al | paper | - | - |
| 2025-7-23 | Exploring Active Learning for Semiconductor Defect Segmentation | Lile Cai et.al | paper | - | <summary>detail</summary>accepted to ICIP 2022 |
| 2025-7-14 | Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha et.al | paper | code | - |
| 2025-6-28 | Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception | Hang-Cheng Dong et.al | paper | - | - |
| 2025-6-24 | Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process | Akshansh Mishra et.al | paper | - | - |
| 2025-6-17 | synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? | Johannes Flotzinger et.al | paper | - | - |
| 2025-4-24 | 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 |
| 2025-2-11 | Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models | Tongkun Liu et.al | paper | code | - |
| 2025-1-23 | 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 | - | - |
| 2024-9-20 | Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation | Geonuk Kim et.al | paper | - | <summary>detail</summary>ECCV 2024 VISION workshop Most Innovative Prize |
| 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 | - | - |
Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-2-1 | COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection | Jinwoo Park et.al | paper | - | <summary>detail</summary>ACM Class:I |
| 2026-2-1 | Is Training Necessary for Anomaly Detection? | Xingwu Zhang et.al | paper | code | - |
| 2026-2-1 | PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection | Jinju Park et.al | paper | - | <summary>detail</summary>Accepted by the 14th International Conference on Learning Representations (ICLR 2026) |
| 2026-2-1 | MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization | Haitao Zhang et.al | paper | - | - |
| 2026-1-31 | Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection | Kiyoon Jeong et.al | paper | code | - |
| 2026-1-31 | MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval | Chaoran Xu et.al | paper | code | - |
| 2026-1-30 | Normality Calibration in Semi-supervised Graph Anomaly Detection | Guolei Zeng et.al | paper | - | - |
| 2026-1-30 | Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity | Jordan Levy et.al | paper | - | <summary>detail</summary>Intelligent Data Analysis (IDA) |
| 2026-1-30 | Multi-Cue Anomaly Detection and Localization under Data Contamination | Anindya Sundar Das et.al | paper | - | - |
| 2026-1-30 | AnoMod: A Dataset for Anomaly Detection and Root Cause Analysis in Microservice Systems | Ke Ping et.al | paper | - | <summary>detail</summary>the 23rd International Conference on Mining Software Repositories (MSR 2026) |
| 2026-1-30 | When Anomalies Depend on Context: Learning Conditional Compatibility for Anomaly Detection | Shashank Mishra et.al | paper | - | <summary>detail</summary>Preprint |
| 2026-1-30 | Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection | Md Zahurul Haque et.al | paper | - | - |
| 2026-1-29 | VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space | Alejandro Ascarate et.al | paper | - | - |
| 2026-1-28 | Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection | Yunhui Liu et.al | paper | - | <summary>detail</summary>Accepted by ICLR 2026 |
| 2026-1-28 | Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software | Yang Liu et.al | paper | - | <summary>detail</summary>This paper has been accepted by ASE 2025 |
| 2026-1-28 | AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection | Kamal Berahmand et.al | paper | - | <summary>detail</summary>Journal ref:The ACM Web Conference (WWW 2026) |
| 2026-1-28 | Dealing with Uncertainty in Contextual Anomaly Detection | Luca Bindini et.al | paper | code | <summary>detail</summary>Published in Transactions on Machine Learning Research (TMLR) |
| 2026-1-28 | SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection | Haokun Zhou et.al | paper | - | - |
| 2026-1-28 | An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination | Sukanya Patra et.al | paper | code | <summary>detail</summary>Accepted in the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) |
| 2026-1-28 | Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models | Qing Lyu et.al | paper | - | - |
| 2026-1-28 | FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge | Xinlong Zhao et.al | paper | - | - |
| 2026-1-27 | Stochastic Voronoi Ensembles for Anomaly Detection | Yang Cao et.al | paper | - | <summary>detail</summary>Version 2: Added ablation study on dual-factor scoring mechanism |
| 2026-1-27 | D3R-Net: Dual-Domain Denoising Reconstruction Network for Robust Industrial Anomaly Detection | Dmytro Filatov et.al | paper | - | - |
| 2026-1-27 | Context-Aware Autoencoders for Anomaly Detection in Maritime Surveillance | Divya Acharya et.al | paper | - | - |
| 2026-1-27 | BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection | Soham Sarkar et.al | paper | - | - |
3D Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-12-15 | 3D Human-Human Interaction Anomaly Detection | Shun Maeda et.al | paper | - | - |
| 2025-12-14 | A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features | Hanzhe Liang et.al | paper | - | <summary>detail</summary>Preprint |
| 2025-11-23 | PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection | Qihang Zhou et.al | paper | - | <summary>detail</summary>Submitted to TPAMI |
| 2025-11-16 | CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection | Yaohua Zha et.al | paper | code | <summary>detail</summary>AAAI 2026 |
| 2025-11-5 | IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detection | Bingyang Guo et.al | paper | - | - |
| 2025-10-19 | Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection | Yuyang Yu et.al | paper | - | - |
| 2025-10-14 | IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR | Ziyun Liang et.al | paper | code | <summary>detail</summary>Published in Medical Image Analysis |
| 2025-9-23 | 3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing | Paul McHard et.al | paper | - | - |
| 2025-9-16 | Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | <summary>detail</summary>ACM MM25 Accepted |
| 2025-9-12 | MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection | Gang Li et.al | paper | - | <summary>detail</summary>Page 14 |
| 2025-8-28 | IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection | Xuanming Cao et.al | paper | - | - |
| 2025-8-19 | Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline | Shiyi Mu et.al | paper | code.) | <summary>detail</summary>under review |
| 2025-8-2 | C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor | Haoquan Lu et.al | paper | code | <summary>detail</summary>We have provided the code for C3D-AD with checkpoints and BASELINE at this link: https://github |
| 2025-8-1 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | code | <summary>detail</summary>ICCV 2025 |
| 2025-8-1 | HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection | Jiaping Cao et.al | paper | - | - |
| 2025-7-29 | Multi-View Reconstruction with Global Context for 3D Anomaly Detection | Yihan Sun et.al | paper | - | - |
| 2025-7-27 | Position: Untrained Machine Learning for Anomaly Detection by using 3D Point Cloud Data | Juan Du et.al | paper | - | - |
| 2025-7-25 | BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection | An Xiang et.al | paper | code | - |
| 2025-7-24 | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection | Jiayi Cheng et.al | paper | code | - |
| 2025-7-17 | 3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering | Zi Wang et.al | paper | - | - |
| 2025-7-10 | Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects | Yuqi Cheng 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 |
| 2025-5-27 | 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 |
| 2025-5-15 | Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection | Hanzhe Liang 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 | - |
Multimodal Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-1-22 | VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection | Yuxin Jiang et.al | paper | - | - |
| 2026-1-20 | Physic-HM: Restoring Physical Generative Logic in Multimodal Anomaly Detection via Hierarchical Modulation | Xiao Liu et.al | paper | - | <summary>detail</summary>Working in progress |
| 2025-11-23 | Multimodal Real-Time Anomaly Detection and Industrial Applications | Aman Verma et.al | paper | - | - |
| 2025-11-16 | Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory | Yuxuan Lin et.al | paper | code | <summary>detail</summary>Accepted by AAAI 2026 |
| 2025-11-10 | RobustA: Robust Anomaly Detection in Multimodal Data | Salem AlMarri et.al | paper | - | <summary>detail</summary>Submitted to IEEE Transactions on Image Processing |
| 2025-10-16 | Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection | Furkan Mumcu et.al | paper | - | - |
| 2025-10-16 | Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation | Wenbo Sui et.al | paper | - | <summary>detail</summary>For a published version refer to the Information Fusion |
| 2025-10-15 | IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection | Zewen Li et.al | paper | code | <summary>detail</summary>Accepted by IEEE Transactions on Instrumentation and Measurement (TIM) |
| 2025-9-12 | MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection | Gang Li et.al | paper | - | <summary>detail</summary>Page 14 |
| 2025-8-20 | PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments | Bernd Hofmann et.al | paper | - | - |
| 2025-8-6 | AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization | Jingyi Liao et.al | paper | - | - |
| 2025-8-1 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | code | <summary>detail</summary>ICCV 2025 |
| 2025-7-25 | BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection | An Xiang et.al | paper | code | - |
| 2025-7-25 | Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners | Xinyue Liu et.al | paper | code | - |
| 2025-7-23 | HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs | Zhaolin Cai et.al | paper | - | <summary>detail</summary>Accepted by ACM MM 2025 |
| 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 |
| 2025-5-28 | OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning | Shifang Zhao et.al | paper | - | - |
| 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 | - |
| 2025-4-17 | LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection | Weijia Li 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 |
| 2025-3-17 | Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models | Jiacong Xu 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 |
Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-2-2 | Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization | Ahmad Farooq et.al | paper | - | <summary>detail</summary>the 2026 IEEE International Conference on Robotics and Automation (ICRA 2026) |
| 2026-2-2 | ParaGSE: Parallel Generative Speech Enhancement with Group-Vector-Quantization-based Neural Speech Codec | Fei Liu et.al | paper | - | <summary>detail</summary>Accepted by ICASSP 2026 |
| 2026-2-1 | Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization | Haochen You et.al | paper | - | <summary>detail</summary>This paper has been accepted as a conference paper at CPAL 2026 |
| 2026-1-29 | Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization | Takashi Morita et.al | paper | - | - |
| 2026-1-26 | Purrception: Variational Flow Matching for Vector-Quantized Image Generation | Răzvan-Andrei Matişan et.al | paper | - | <summary>detail</summary>Published at ICLR 2026 |
| 2026-1-26 | Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression | Xi Zhang et.al | paper | code | <summary>detail</summary>NeurIPS 2025 Poster |
| 2026-1-21 | SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation | Hui Li et.al | paper | - | - |
| 2026-1-17 | Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired Assistance | Xiangxiang Wang et.al | paper | - | - |
| 2026-1-15 | VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation | Sicheng Yang et.al | paper | code | <summary>detail</summary>Accepted by NeurIPS 2025 |
| 2026-1-14 | FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems | Tianqi Zhang et.al | paper | - | - |
| 2026-1-14 | STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading | Yilei Zhao et.al | paper | - | - |
| 2026-1-11 | HAS-VQ: Hessian-Adaptive Sparse Vector Quantization for High-Fidelity LLM Compression | Vladimer Khasia et.al | paper | code | - |
| 2026-1-1 | LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization | Jie Li et.al | paper | - | <summary>detail</summary>The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 |
| 2025-12-30 | Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression | Manikanta Kotthapalli et.al | paper | - | - |
| 2025-12-20 | Quantization for Vector Search under Streaming Updates | Ishaq Aden-Ali et.al | paper | - | - |
| 2025-12-14 | NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache | Donghyun Son et.al | paper | - | - |
| 2025-12-9 | SHARe-KAN: Holographic Vector Quantization for Memory-Bound Inference | Jeff Smith et.al | paper | - | - |
| 2025-12-6 | Vector Quantization using Gaussian Variational Autoencoder | Tongda Xu et.al | paper | code | - |
| 2025-11-25 | RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression | Shima Rafiei et.al | paper | - | - |
| 2025-11-24 | Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis | Dimitrios E. Diamantis et.al | paper | - | <summary>detail</summary>Accepted in IEEE Int |
| 2025-11-20 | Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security | Wei Zhao et.al | paper | code | <summary>detail</summary>Accepted by NDSS 2026 |
| 2025-11-19 | Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization | Constantinos Tsakonas et.al | paper | - | - |
| 2025-11-18 | Dimension vs. Precision: A Comparative Analysis of Autoencoders and Quantization for Efficient Vector Retrieval on BEIR SciFact | Satyanarayan Pati et.al | paper | - | - |
| 2025-11-9 | Vector-Quantized Vision Foundation Models for Object-Centric Learning | Rongzhen Zhao et.al | paper | code | <summary>detail</summary>ACM MM 2025 |
| 2025-10-21 | Channel-Aware Vector Quantization for Robust Semantic Communication on Discrete Channels | Zian Meng et.al | paper | - | - |