AD Research Hub
DashboardPeoplePapersWorkshopsDatasetsResearch Map
Login
⌘K
AD Research Hub — Anomaly Detection in Computer Vision
← Back to Papers
Towards Accurate Unified Anomaly Segmentation

Authors

Wenxin Ma, Qingsong Yao, Xiang Zhang, Zhelong Huang, Zihang Jiang, S.Kevin Zhou

WACV-2025direct anomaly

Score

13

Tags

anomaly segmentation

Datasets

MVTecMVTec-ADVisA

Links

Paper PagearXiv AbstractarXiv PDF

Cite

Related Papers

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet

Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra +2

WACV-2025direct anomaly13
anomaly segmentation
ViTSelf-supervisedMVTec
PDF

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving

Alexey Nekrasov, Malcolm Burdorf, Stewart Worrall +2

CVPR-2025direct anomaly13
anomaly segmentation
PDFarXiv

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup

Zhen Qu, Xian Tao, Xinyi Gong +7

ICCV-2025direct anomaly13
anomaly segmentation
CLIPSelf-supervisedFew-shot
PDFarXiv

Discriminative Score Suppression for Weakly Supervised Video Anomaly Detection

Chen Xu, Chunguo Li, Hongjie Xing

WACV-2025direct anomaly24
anomaly detectionvideo anomaly
PDF

Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection

Jash Dalvi, Ali Dabouei, Gunjan Dhanuka +1

WACV-2025direct anomaly24
anomaly detectionvideo anomaly
ShanghaiTech
PDFarXiv

Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection

Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard

WACV-2025direct anomaly24
anomaly detectionvideo anomaly
ViT
PDFarXiv

Sign in to access this content

Sign in