VAND23
* *Visual Anomaly and Novelty Detection
* Anomaly Detection with Domain Adaptation
* Are we certain it's anomalous?
* Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
* Denoising diffusion models for out-of-distribution detection
* Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization
* FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
* Memory-efficient and GPU-oriented visual anomaly detection with incremental dimension reduction
* Multi-Task Learning based Video Anomaly Detection with Attention
* On Advantages of Mask-level Recognition for Outlier-aware Segmentation
* Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
* SANO: Score-based Diffusion Model for Anomaly Localization in Dermatology
* Self-Supervised Normalizing Flows for Image Anomaly Detection and Localization
13 for VAND23
VAND24
* *Visual Anomaly and Novelty Detection
* Blind Localization and Clustering of Anomalies in Textures
* BMAD: Benchmarks for Medical Anomaly Detection
* Context-aware Video Anomaly Detection in Long-Term Datasets
* COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
* Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
* DMR: Disentangling Marginal Representations for Out-of-Distribution Detection
* Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
* Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection
* LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
* Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
* Model-guided contrastive fine-tuning for industrial anomaly detection
* Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning
* SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection
* TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
* Test Time Training for Industrial Anomaly Segmentation
* Tracklet-based Explainable Video Anomaly Localization
* Tri-VAE: Triplet Variational Autoencoder for Unsupervised Anomaly Detection in Brain Tumor MRI
* Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation: A Unified Approach
19 for VAND24
VAND25
* *Visual Anomaly and Novelty Detection
* Automated Essential Concept Discovery for Few-Shot Out-of-Distribution Detection
* Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
* Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
* Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
* FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-World Surveillance Videos
* Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
* Multi-Layer Radial Basis Function Networks for Out-of-Distribution Detection
* No-MambAAD: Revitalizing Conv-Only Networks for Unsupervised Anomaly Detection
* PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
* Robust AD: A Real World Benchmark Dataset for Robustness in Industrial Anomaly Detection
* Scene-Specific Anomalous Relationship Detection Using Scene Graph Summarization
* Semi-Supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-Ray Security Imagery
* SK-RD4AD: Skip-Connected Reverse Distillation for Robust One-Class Anomaly Detection
* SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models
* When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-Loss CycleGAN
16 for VAND25