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