Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

19 March 2024

Papers citing "Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images"

9 / 9 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 9 0 0 14 May 2025
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models Yankai Jiang Peng Zhang D. Yang Yuan Tian Hai Lin X. Wang MedIm 46 0 0 05 May 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models Yuncheng Guo Xiaodong Gu VLM OffRL 63 0 0 11 Mar 2025
Mutual-modality Adversarial Attack with Semantic Perturbation Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang AAML 24 9 0 20 Dec 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 67 184 0 26 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images Kang Zhou Jing Li Weixin Luo Zhengxin Li Jianlong Yang H. Fu Jun Cheng Jiang-Dong Liu Shenghua Gao 127 32 0 05 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 223 897 0 28 Apr 2021