:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Hong, Sun, Weixiang, Wu, Zhijian, Niu, Jingwen, Lu, Donghuan, Wu, Xian, Zheng, Yefeng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2506.10730
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MadCLIP: Few-shot Medical Anomaly Detection with CLIP
by: Shiri, Mahshid, et al.
Published: (2025)

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)

AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)

CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP
by: Zuo, Zuo, et al.
Published: (2024)

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding
by: Wu, Jiageng, et al.
Published: (2024)

TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
by: Sun, Jinghan, et al.
Published: (2024)

CLIP's Visual Embedding Projector is a Few-shot Cornucopia
by: Fahes, Mohammad, et al.
Published: (2024)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
by: Wu, Xiaoxiao, et al.
Published: (2024)

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder
by: Wang, Jingchao, et al.
Published: (2025)

Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection
by: Jeong, Kiyoon, et al.
Published: (2025)

CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
by: Zuo, Zuo, et al.
Published: (2024)

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
by: Ham, Jiyul, et al.
Published: (2024)

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
by: Marzullo, Aldo, et al.
Published: (2024)

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
by: Zhang, Rui, et al.
Published: (2024)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
by: Niu, Chaoxi, et al.
Published: (2024)

AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)

Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)

Towards Cross-domain Few-shot Graph Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2024)

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
by: Li, Yiyue, et al.
Published: (2025)

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
by: Chen, Xuhai, et al.
Published: (2023)

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
by: Guo, Kaiyu, et al.
Published: (2025)

Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
by: Bi, Hanbo, et al.
Published: (2024)

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
by: Zhu, Jiaqi, et al.
Published: (2024)

CLIP-driven Zero-shot Learning with Ambiguous Labels
by: Fan, Jinfu, et al.
Published: (2026)

UniFS: Universal Few-shot Instance Perception with Point Representations
by: Jin, Sheng, et al.
Published: (2024)

Reusing Fusion-Time Spectral Reliability for Adaptive Fusion and Expert Routing in RGB-Infrared Object Detection
by: Wu, Yefeng
Published: (2026)

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
by: Gao, Bin-Bin, et al.
Published: (2025)

CLIP-aware Domain-Adaptive Super-Resolution
by: Lu, Zhengyang, et al.
Published: (2025)

OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
by: Lu, Changsheng, et al.
Published: (2024)

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
by: Duan, Yuxuan, et al.
Published: (2024)

Prioritized Semantic Learning for Zero-shot Instance Navigation
by: Sun, Xinyu, et al.
Published: (2024)

GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning
by: Deng, Zehao, et al.
Published: (2026)

Zero- and Few-shot Sound Event Localization and Detection
by: Shimada, Kazuki, et al.
Published: (2023)

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
by: Ziletti, Angelo, et al.
Published: (2022)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)