Segment Any Anomaly without Training via Hybrid Prompt Regularization

18 May 2023

Papers citing "Segment Any Anomaly without Training via Hybrid Prompt Regularization"

9 / 59 papers shown

Title
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 16 4 0 13 Apr 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 64 92 0 26 Mar 2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion Yue Wang Jinlong Peng Jiangning Zhang Ran Yi Yabiao Wang Chengjie Wang 3DPC 69 49 0 01 Mar 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng R. Li Octavia Camps Yun Fu 8 5 0 13 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing Guoyang Xie Jinbao Wang Jiaqi Liu Jiayi Lyu Y. Liu Chengjie Wang Feng Zheng Yaochu Jin VLM 17 65 0 31 Jan 2023
MAEDAY: MAE for few and zero shot AnomalY-Detection Eli Schwartz Assaf Arbelle Leonid Karlinsky Sivan Harary F. Scheidegger Sivan Doveh Raja Giryes ViT UQCV 21 23 0 25 Nov 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 299 0 26 Jan 2022
Reliable Propagation-Correction Modulation for Video Object Segmentation Xiaohao Xu Jinglu Wang Xiao Li Yan Lu VOS 29 61 0 06 Dec 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 319 2,108 0 02 Sep 2021