WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

26 March 2023

Papers citing "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation"

8 / 8 papers shown

Title
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng Feiyan Pang Zhanbo Wang Aimin Yang 49 45 0 28 Apr 2025
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 252 5,353 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 311 2,108 0 02 Sep 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 47 50 0 03 May 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 185 698 0 28 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 62 194 0 20 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 285 2,875 0 11 Feb 2021
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 9,997 0 01 Sep 2014