COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection

29 February 2024

Papers citing "COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection"

8 / 8 papers shown

Title
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion Yifan Liu Xun Xu Shijie Li Jingyi Liao Xulei Yang 41 0 0 14 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Fuyun Wang Tong Zhang Yuanzhi Wang Yide Qiu Xin Liu Xu Guo Zhen Cui DiffM 34 0 0 28 Feb 2025
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 31 9 0 31 Jul 2024
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation Zuo Zuo Jiahao Dong Yao Wu Yanyun Qu Zongze Wu 24 3 0 27 Jun 2024
IPAD: Industrial Process Anomaly Detection Dataset Jinfan Liu Yichao Yan Junjie Li Weiming Zhao Pengzhi Chu Xingdong Sheng Yunhui Liu Xiaokang Yang 19 0 0 23 Apr 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts Jiawen Zhu Guansong Pang VLM 53 14 0 11 Mar 2024
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014