- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-22 | VQGNet: An Unsupervised Defect Detection Approach for Complex Textured Steel Surfaces | R Yu et.al | paper | - | detailSensors, 2024 mdpi.com |
| 2025-1-22 | Unsupervised Bearing Raceway Surface Defect Detection Based on Improved f-AnoGAN | Y Zhang et.al | paper | - | detailMeasurement Science and…, 2024 iopscience.iop.org |
| 2025-1-22 | 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 | - | detailJournal of Computer Science Research, 2024 journals.bilpubgroup.com |
| 2025-1-22 | Retraction Note: Application of light sensors based on reinforcement learning in martial arts action optimization and image defect detection | PL Yan et.al | paper | - | detail2024 Springer |
| 2025-1-22 | Improved U2Net-Based Surface Defect Detection Method for Blister Tablets | J Zhou et.al | paper | - | detailAlgorithms, 2024 mdpi.com |
| 2025-1-22 | A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection | Y Zhou et.al | paper | - | detailNondestructive Testing and…, 2024 Taylor & Francis |
| 2025-1-22 | Research on Defect Detection Method of Fusion Reactor Vacuum Chamber Based on Photometric Stereo Vision | G Qin et.al | paper | - | detailSensors, 2024 mdpi.com |
| 2025-1-21 | Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 | Y Liu et.al | paper | - | detailApplied Sciences, 2024 mdpi.com |
| 2025-1-21 | Optimizing Feature Extraction and Fusion for High-Resolution Defect Detection in Solar Cells | H Nguyen et.al | paper | - | detailIntelligent Systems with Applications, 2024 Elsevier |
| 2025-1-21 | A rail defect detection framework under class-imbalanced conditions based on improved you only look once network | Y Ding et.al | paper | - | detailEngineering Applications of…, 2024 Elsevier |
| 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 | - | detailThe 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 | - | - |
| 2024-12-24 | Defective Edge Detection Using Cascaded Ensemble Canny Operator | Anjali Nambiyar Rajkumar Kannan et.al | paper | - | detail2 Pages and 2 Figures |
| 2024-12-23 | A Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification | Ravi Datta Rachuri et.al | paper | - | detailAccepted by IEEE Big Data 2024 |
| 2024-12-23 | Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs | Deepthi Pavurala et.al | paper | - | detailAccepted by IEEE Big Data 2024 |
| 2024-12-22 | Detecting and Classifying Defective Products in Images Using YOLO | Zhen Qi et.al | paper | - | - |
| 2024-12-11 | A Hybrid Framework for Statistical Feature Selection and Image-Based Noise-Defect Detection | Alejandro Garnung Menéndez et.al | paper | - | - |
| 2024-12-5 | Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection | Shuai Wang et.al | paper | - | - |
| 2024-12-5 | HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection | Zuo Zuo et.al | paper | code | detailunder review |
| 2024-11-18 | In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers | Israt Zarin Era et.al | paper | - | - |
| 2024-11-15 | Definition and Detection of Centralization Defects in Smart Contracts | Zewei Lin et.al | paper | - | - |
| 2024-11-5 | PV-faultNet: Optimized CNN Architecture to detect defects resulting efficient PV production | Eiffat E Zaman et.al | paper | - | - |
| 2024-11-1 | Scalable AI Framework for Defect Detection in Metal Additive Manufacturing | Duy Nhat Phan et.al | paper | - | - |
| 2024-10-23 | Automated Defect Detection and Grading of Piarom Dates Using Deep Learning | Nasrin Azimi et.al | paper | - | - |
| 2024-10-15 | YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection | Olalekan Akindele et.al | paper | - | - |
| 2024-10-13 | High-Performance Fine Defect Detection in Artificial Leather Using Dual Feature Pool Object Detection | Lin Huang et.al | paper | - | - |
| 2024-10-6 | Automated Detection of Defects on Metal Surfaces using Vision Transformers | Toqa Alaa et.al | paper | - | - |
| 2024-10-2 | CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer with Block Level CBAM Enhancement | Jiayi Zhao et.al | paper | - | - |
| 2024-9-24 | Machine learning approaches for automatic defect detection in photovoltaic systems | Swayam Rajat Mohanty et.al | paper | - | - |
| 2024-9-22 | Superpixel perception graph neural network for intelligent defect detection of aero-engine blade | Hongbing Shang et.al | paper | - | detailJournal ref:Journal of Manufacturing Systems |
| 2024-9-22 | A New Simple Vision Algorithm for Detecting the Enzymic Browning Defects in Golden Delicious Apples | Hamid Majidi Balanji et.al | paper | - | - |
| 2024-9-14 | Enhancing Printed Circuit Board Defect Detection through Ensemble Learning | Ka Nam Canaan Law et.al | paper | - | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-21 | Defect detection of microscopic images of aluminum inclusions: Using semantic segmentation and generative methods | S John - 2024 - diva-portal.org et.al | paper | - | detail2024 diva portal.org |
| 2025-1-17 | Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography | Mohammed Salah et.al | paper | - | detailPulse thermography |
| 2025-1-16 | Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation | G Kim- arXiv preprint arXiv:2409.13984 et.al | paper | code | - |
| 2025-1-13 | Latent Diffusion Models to Enhance the Performance of Visual Defect Segmentation Networks in Steel Surface Inspection | J Leiñena et.al | paper | - | detailSensors, 2024 mdpi.com |
| 2025-1-12 | Teacher-Student Collaboration: Effective Semi-Supervised Model for Defect Instance Segmentation | B Ye et.al | paper | - | detailIEEE Transactions on Automation Science…, 2024 ieeexplore.ieee.org |
| 2025-1-7 | GPR Imagery Based Internal Defect Evaluation System for Railroad Tunnel Lining Using Real-time Instance Segmentation | S Long et.al | paper | - | detailIEEE Sensors…, 2024 ieeexplore.ieee.org |
| 2025-1-2 | Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO | SZ Rizvi et.al | paper | - | detailComputers and Electrical Engineering, 2024 Elsevier |
| 2025-1-1 | Steering knuckle surface defect detection and segmentation based on reverse residual distillation | S Zhou et.al | paper | - | detail…Applications of Artificial…, 2024 Elsevier |
| 2024-12-29 | Parameter-Efficient Fine-Tuning for Citrus Fruit Defect Segmentation Model Based on Text Prompt | Y Zhu et.al | paper | - | detailAvailable at SSRN 4944330 papers.ssrn.com |
| 2024-12-23 | Latent Space Segmentation model for Visual Surface Defect Inspection | M Li et.al | paper | - | detailIEEE Transactions on Instrumentation…, 2024 ieeexplore.ieee.org |
| 2024-12-21 | Context-Aware Adaptive Weighted Attention Network for Real-Time Surface Defect Segmentation | G Zhang et.al | paper | - | detailIEEE Transactions on…, 2024 ieeexplore.ieee.org |
| 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 | detailECCV 2024 VISION Workshop |
| 2024-7-17 | PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha et.al | paper | - | - |
| 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 | detailPoultry 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 | - | detailthe ICRA 2024 |
| 2023-12-21 | Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation | Rasha Alshawi et.al | paper | - | detailunder 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 | - | detailMSC Class:I |
| 2023-9-28 | Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation | Zhen Qu et.al | paper | code | detailsubmit 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 | - | - |
| 2023-6-27 | No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale Interaction | Gongyang Li et.al | paper | code | - |
| 2023-2-19 | SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering | MinJin Hwang et.al | paper | - | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-23 | Autoencoders for Anomaly Detection are Unreliable | Roel Bouman et.al | paper | - | - |
| 2025-1-23 | The Lock Generative Adversarial Network for Medical Waveform Anomaly Detection | Wenjie Xu et.al | paper | - | - |
| 2025-1-23 | GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality | Zehao Liu et.al | paper | - | detailAAAI 2025 |
| 2025-1-23 | Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs | Finn Behrendt et.al | paper | code | detailPreprint: Accepted paper at Combuters in Biology and medicine |
| 2025-1-23 | Hyperspectral Sensor Management for UAS: Performance Analysis of Context-Based System Architectures for Camouflage and UXO Anomaly Detection… | L Eckel et.al | paper | - | detailDrones, 2024 mdpi.com |
| 2025-1-23 | Research on carotid artery plaque anomaly detection algorithm based on ultrasound images | Y Li et.al | paper | - | detailComputers in Biology and…, 2024 Elsevier |
| 2025-1-23 | Unsupervised Learning Framework with Memory-augmented Transformer for Multivariate Time Series Anomaly Detection | 송준호 - 2024 - s-space.snu.ac.kr et.al | paper | - | detail2024 s space.snu.ac.kr |
| 2025-1-23 | Adaptive loitering anomaly detection based on motion states | H Li et.al | paper | - | detailMultimedia Tools and Applications, 2024 Springer |
| 2025-1-22 | Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection | Feiyi Chen et.al | paper | - | - |
| 2025-1-22 | Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach | Sota Mashiko et.al | paper | - | - |
| 2025-1-22 | A Survey on Diffusion Models for Anomaly Detection | Jing Liu et.al | paper | code | - |
| 2025-1-22 | Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection | Y Gu et.al | paper | code | - |
| 2025-1-22 | A Taxonomic Framework for Neural Network Based Anomaly Detection in Bridge Monitoring | I Bayane et.al | paper | - | detailAvailable at SSRN 4968826 papers.ssrn.com |
| 2025-1-22 | Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection | J Lyu et.al | paper | code | - |
| 2025-1-22 | Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors | R Gallon et.al | paper | code | - |
| 2025-1-22 | Design of big data anomaly detection model based on random forest algorithm | S Shijun et.al | paper | - | detailScientific Insights and Discoveries Review, 2024 crestapress.org |
| 2025-1-22 | TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model | C Wei et.al | paper | - | detailComputers in Industry, 2025 Elsevier |
| 2025-1-21 | Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection | Shixuan Song et.al | paper | - | - |
| 2025-1-21 | Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection | Jiaxing Qi et.al | paper | - | - |
| 2025-1-21 | TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection | Yang Cao et.al | paper | - | - |
| 2025-1-21 | Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels | Yaxuan Wang et.al | paper | - | detailAccepted by 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'25) |
| 2025-1-21 | LogLLM: Log-based Anomaly Detection Using Large Language Models | Wei Guan et.al | paper | - | - |
| 2025-1-20 | DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction | Hossein Rafieizadeh et.al | paper | - | detailthe Thirteenth International Conference on Complex Networks and Their Applications |
| 2025-1-20 | Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model | F. S. Pezzicoli et.al | paper | - | - |
| 2025-1-20 | Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation | Marine Hamon et.al | paper | - | detail7 |
| 2025-1-20 | Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review | Abdelrahman Alzarooni et.al | paper | - | - |
| 2025-1-18 | Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection | Jash Dalvi et.al | paper | - | - |
| 2025-1-17 | FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization | Zhaopeng Gu et.al | paper | code | - |
| 2025-1-17 | Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection | Yuanze Li et.al | paper | code | - |
| 2025-1-16 | ComplexVAD: Detecting Interaction Anomalies in Video | Furkan Mumcu et.al | paper | - | - |
| 2025-1-16 | Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities | Runzhou Mao et.al | paper | - | detailMSC Class:68U05 |
| 2025-1-15 | A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series | Lucas Correia et.al | paper | - | detailSubmitted to the IEEE Transactions on Reliability journal |
| 2025-1-15 | Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers | Hanxi Li et.al | paper | - | - |
| 2025-1-15 | Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection | Tongtong Feng et.al | paper | - | detailAccepted |
| 2025-1-14 | Detecting Contextual Anomalies by Discovering Consistent Spatial Regions | Zhengye Yang et.al | paper | - | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-10 | Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces | Hao-Chun Yang et.al | paper | - | - |
| 2024-12-25 | Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free Products | J Liu et.al | paper | code | - |
| 2024-12-24 | Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume | Z Zhang 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 | - | detailNeurIPS 2024 |
| 2024-12-18 | Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images | N Alsahanova et.al | paper | - | detailInformation…, 2025 Elsevier |
| 2024-12-17 | Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | detailAAAI2025 Accepted |
| 2024-12-17 | PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection | Jianan Ye et.al | paper | - | - |
| 2024-12-1 | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data | X Zhou et.al | paper | - | detailijcai.org |
| 2024-11-28 | Anomaly Behavior Detection in Crowd via Lightweight 3D Convolution | J Wang et.al | paper | - | detailInternational Conference on Intelligent Computing, 2024 Springer |
| 2024-11-25 | 3D Industrial anomaly detection via dual reconstruction network | Z Li et.al | paper | - | detailApplied Intelligence, 2024 Springer |
| 2024-11-23 | Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection | A Niaz et.al | paper | - | detailIEEE Access, 2024 ieeexplore.ieee.org |
| 2024-11-19 | Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning | H Zhu et.al | paper | code | - |
| 2024-11-14 | IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection | B Jiang et.al | paper | - | detailACM Multimedia 2024 openreview.net |
| 2024-11-10 | R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection | Z Zhou et.al | paper | code | - |
| 2024-10-29 | A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection | Yuxuan Lin et.al | paper | code | - |
| 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 | detailCVPR'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 | - | detailVisual 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 | - | detailWACV 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 | - | - |
| 2023-4-6 | Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder | Mana Masuda et.al | paper | code | detailICIP2021 |
| 2022-12-23 | Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection | Inha Kang et.al | paper | - | - |
| 2022-11-28 | Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection | Eliahu Horwitz et.al | paper | code | detailProject page: https://www |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-17 | Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection | Yuanze Li et.al | paper | code | - |
| 2025-1-17 | Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0 | L Capogrosso et.al | paper | - | detail2024 ceur ws.org |
| 2025-1-13 | Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection | Y Kaneko et.al | paper | code | - |
| 2025-1-7 | MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection | Xi Jiang et.al | paper | code | detailThe code and data are available at https://github |
| 2025-1-5 | Memoryless Multimodal Anomaly Detection via Student-Teacher Network and Signed Distance Learning | Z Sun et.al | paper | code | - |
| 2024-12-23 | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective | Kaifang Long et.al | paper | - | - |
| 2024-12-18 | Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images | N Alsahanova et.al | paper | - | detailInformation…, 2025 Elsevier |
| 2024-12-12 | Multimodal Industrial Anomaly Detection by Crossmodal Reverse Distillation | Xinyue Liu et.al | paper | - | - |
| 2024-11-29 | DIP-ECOD: improving anomaly detection in multimodal distributions | K Yang et.al | paper | - | detailConference on Applied…, 2024 pure.qub.ac.uk |
| 2024-10-29 | A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection | Yuxuan Lin et.al | paper | code | - |
| 2024-10-25 | A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection | G Yang et.al | paper | - | detail2024 International Joint…, 2024 ieeexplore.ieee.org |
| 2024-10-22 | Improving the accuracy of Anomaly Detection in Multimodal Sensors using 1D-CNN | M Imad et.al | paper | - | detailProceedings of the 17th…, 2024 dl.acm.org |
| 2024-10-9 | Weakly-supervised anomaly detection for multimodal data distributions | X Tan et.al | paper | code | - |
| 2024-10-6 | Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Supplementary Material | A Costanzino et.al | paper | - | detailopenaccess.thecvf.com |
| 2024-9-30 | VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection | Huilin Deng et.al | paper | - | - |
| 2024-9-30 | M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising | C Wang et.al | paper | code | - |
| 2024-9-26 | AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving | Daniel Bogdoll et.al | paper | - | detailDaniel 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 | - | detailCVPR 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 | detailISBI 2024 |
| 2023-10-17 | MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection | Chaoyue Ding et.al | paper | - | detailInformation Fusion 2023 accepted |
| 2023-9-26 | SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets | Daria Reshetova et.al | paper | - | detailExtended 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 | detailAccepted by CVPR 2023 |
| 2023-9-5 | 2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection | Yunkang Cao et.al | paper | - | detailThe first two author contribute equally |
| 2023-8-28 | Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection | Alessandro Flaborea et.al | paper | - | detailICCV2023 |
| 2023-5-1 | Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources | Taehee Kim et.al | paper | - | - |
| 2023-3-23 | Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection | Yunkang Cao et.al | paper | code | detailSubmitted to Pattern Recognition |
| 2022-10-10 | The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization | Luca Bonfiglioli et.al | paper | code | - |
| 2022-2-19 | A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network | Qinghao Zhang et.al | paper | - | - |
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2025-1-21 | CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization | KL Navaneet et.al | paper | code | detailecva.net |
| 2025-1-21 | VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models | Y Liu et.al | paper | code | - |
| 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 | - | - |
| 2025-1-15 | STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading | Yilei Zhao et.al | paper | - | - |
| 2025-1-15 | NDVQ: Robust Neural Audio Codec with Normal Distribution-Based Vector Quantization | Z Niu et.al | paper | code | - |
| 2025-1-15 | Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization | Y Cai et.al | paper | - | detailApplied Soft Computing, 2024 Elsevier |
| 2025-1-14 | Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks | C Huang et.al | paper | - | detailAdvanced…, 2024 Wiley Online Library |
| 2025-1-6 | VQCrystal: Leveraging Vector Quantization for Discovery of Stable Crystal Structures | ZJ Qiu et.al | paper | - | - |
| 2025-1-5 | Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization | Eyal Fishel et.al | paper | - | - |
| 2025-1-3 | MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization | Haina Zhu et.al | paper | code | - |
| 2025-1-1 | VQ-DeepVSC: A Dual-Stage Vector Quantization Framework for Video Semantic Communication | Y Miao et.al | paper | - | - |
| 2024-12-31 | Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization | M Vali et.al | paper | - | detailProceedings of the Interspeech, 2024 research.aalto.fi |
| 2024-12-30 | PENGENALAN POLA WAJAH MENGGUNAKAN WEBCAM UNTUK ABSENSI DENGAN METODE LEARNING VECTOR QUANTIZATION (LVQ) | P Serianti et.al | paper | - | detailJOURNAL OF INFORMATICS AND…, 2024 jurnal.uui.ac.id |
| 2024-12-29 | Weakly Supervised Vector Quantization for Whole Slide Images Classification | D Shen et.al | paper | - | detailbioRxiv, 2024 biorxiv.org |
| 2024-12-23 | Hierarchical Vector Quantization for Unsupervised Action Segmentation | Federico Spurio et.al | paper | - | detailTo be published in Conference on Artificial Intelligence (AAAI) 2025 |
| 2024-12-19 | Preventing Local Pitfalls in Vector Quantization via Optimal Transport | Borui Zhang et.al | paper | code | detailCode is available at https://github |
| 2024-12-18 | Autoregressive Video Generation without Vector Quantization | Haoge Deng et.al | paper | code | - |
| 2024-12-16 | MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization | Shuaiting Li et.al | paper | - | detailAccepted by ASPLOS '25 |
| 2024-12-15 | Efficient Generative Modeling with Residual Vector Quantization-Based Tokens | Jaehyeon Kim et.al | paper | code | - |
| 2024-12-12 | CRVQ: Channel-relaxed Vector Quantization for Extreme Compression of LLMs | Yuzhuang Xu et.al | paper | - | detail5 figures |
| 2024-12-4 | Pyramid Vector Quantization for LLMs | Tycho F. A. van der Ouderaa et.al | paper | - | - |
| 2024-11-25 | Representation Collapsing Problems in Vector Quantization | Wenhao Zhao et.al | paper | - | - |
| 2024-11-25 | VQ-SGen: A Vector Quantized Stroke Representation for Sketch Generation | Jiawei Wang et.al | paper | - | - |
| 2024-11-25 | Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression | Xi Zhang et.al | paper | - | detailAccepted by NeurIPS 2024 |
| 2024-11-19 | S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction | Mohammad Adiban et.al | paper | - | - |
| 2024-11-8 | Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models | Xiao Liu et.al | paper | - | - |
| 2024-11-7 | Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization | Qi Jiang et.al | paper | code | detailOptics & Laser Technology |
| 2024-11-4 | Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval | Nikolaos Flemotomos et.al | paper | - | - |
| 2024-11-4 | Addressing Representation Collapse in Vector Quantized Models with One Linear Layer | Yongxin Zhu et.al | paper | code | - |
| 2024-11-3 | Transferable Sequential Recommendation via Vector Quantized Meta Learning | Zhenrui Yue et.al | paper | - | detailBigData 2024 |
| 2024-11-3 | VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization | Yiwei Zhang et.al | paper | code | - |
| 2024-11-1 | Autoregressive Image Generation without Vector Quantization | Tianhong Li et.al | paper | code | detailNeurips 2024 (Spotlight) |
| 2024-10-27 | Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization | Mohammad Hassan Vali et.al | paper | - | - |