:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ham, Jiyul, Jung, Yonggon, Baek, Jun-Geol
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2411.06071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2024)

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

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

Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
by: Hou, Yanning, et al.
Published: (2025)

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

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

WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection
by: Chen, Peng, et al.
Published: (2026)

StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection
by: Hou, Yanning, et al.
Published: (2025)

TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
by: Salehi, Alireza, et al.
Published: (2026)

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

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
by: Huang, Hong, et al.
Published: (2025)

Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
by: Xuan, Shiyu, et al.
Published: (2026)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
by: Pang, Li, et al.
Published: (2025)

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

Towards Zero-shot 3D Anomaly Localization
by: Wang, Yizhou, et al.
Published: (2024)

KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
by: Li, Chengyuan, et al.
Published: (2025)

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)

MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection
by: Park, Jun Yeong, et al.
Published: (2026)

PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
by: Pan, Yurui, et al.
Published: (2025)

Locality-Aware Zero-Shot Human-Object Interaction Detection
by: Kim, Sanghyun, et al.
Published: (2025)

Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection
by: Guo, Yixin, et al.
Published: (2024)

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
by: Jiang, Yuxin, et al.
Published: (2025)

Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
by: Cheung, Tsun-Hin, et al.
Published: (2024)

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
by: Qu, Zhen, et al.
Published: (2025)

Explaining CLIP Zero-shot Predictions Through Concepts
by: Ozdemir, Onat, et al.
Published: (2026)

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

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
by: Deng, Jieren, et al.
Published: (2024)

ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
by: Yang, Ziteng, et al.
Published: (2025)

MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
by: Song, Dan, et al.
Published: (2023)

Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
by: Yang, Chanhyeong, et al.
Published: (2025)

Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
by: Bai, Letian, et al.
Published: (2026)

PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)

AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
by: Yuan, Jingyi, et al.
Published: (2025)

ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes
by: Chen, Jianqiu, et al.
Published: (2023)

AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection
by: Zhao, Ying
Published: (2025)