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