ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

23 January 2024

Peng Ye

Tao Chen

Papers citing "ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation"

6 / 6 papers shown

Title
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Tongkun Liu Bing Li Xiao Jin Yupeng Shi Qiuying Li Xiang Wei 52 0 0 03 Feb 2025
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 33 6 0 28 Sep 2024
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval Hanxi Li Jianfei Hu Bo-wen Li Hao Chen Yongbin Zheng Chunhua Shen 30 16 0 13 Aug 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 67 92 0 26 Mar 2023
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye Shengji Tang Baopu Li Tao Chen Wanli Ouyang 24 13 0 09 Oct 2022
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 73 194 0 20 Apr 2021