CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Xuhai, Zhang, Jiangning, Tian, Guanzhong, He, Haoyang, Zhang, Wuhao, Wang, Yabiao, Wang, Chengjie, Liu, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)
by: Zhang, Jiangning, et al.
Published: (2023)
Learning Multi-view Anomaly Detection with Efficient Adaptive Selection
by: He, Haoyang, et al.
Published: (2024)
by: He, Haoyang, et al.
Published: (2024)
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024)
by: He, Haoyang, et al.
Published: (2024)
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
by: Bai, Yuhu, et al.
Published: (2024)
by: Bai, Yuhu, et al.
Published: (2024)
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)
by: Zhang, Jiangning, et al.
Published: (2023)
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
by: Zhang, Jiangning, et al.
Published: (2024)
by: Zhang, Jiangning, et al.
Published: (2024)
Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection
by: Bai, Yuhu, et al.
Published: (2025)
by: Bai, Yuhu, et al.
Published: (2025)
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
by: Tu, Yuanpeng, et al.
Published: (2024)
by: Tu, Yuanpeng, et al.
Published: (2024)
A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2024)
by: Zhang, Jiangning, et al.
Published: (2024)
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
by: He, Qingdong, et al.
Published: (2024)
by: He, Qingdong, et al.
Published: (2024)
DMAD: Dual Memory Bank for Real-World Anomaly Detection
by: Hu, Jianlong, et al.
Published: (2024)
by: Hu, Jianlong, et al.
Published: (2024)
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)
by: Cao, Yunkang, et al.
Published: (2024)
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
by: Hu, Teng, et al.
Published: (2023)
by: Hu, Teng, et al.
Published: (2023)
EMOv2: Pushing 5M Vision Model Frontier
by: Zhang, Jiangning, et al.
Published: (2024)
by: Zhang, Jiangning, et al.
Published: (2024)
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)
by: Ma, Wenxin, et al.
Published: (2025)
TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)
by: Zhou, Qihang, et al.
Published: (2025)
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)
by: Kim, Donghyeong, et al.
Published: (2025)
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
by: Gao, Bin-Bin, et al.
Published: (2025)
by: Gao, Bin-Bin, et al.
Published: (2025)
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)
by: Zhang, Zhaoxiang, et al.
Published: (2024)
PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)
by: Zhou, Qihang, et al.
Published: (2025)
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
by: Zhang, Jiangning, et al.
Published: (2022)
by: Zhang, Jiangning, et al.
Published: (2022)
PVG: Progressive Vision Graph for Vision Recognition
by: Wu, Jiafu, et al.
Published: (2023)
by: Wu, Jiafu, et al.
Published: (2023)
UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions
by: Xue, Zhucun, et al.
Published: (2025)
by: Xue, Zhucun, et al.
Published: (2025)
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network
by: He, Haoyang, et al.
Published: (2024)
by: He, Haoyang, et al.
Published: (2024)
MARRS: Masked Autoregressive Unit-based Reaction Synthesis
by: Wang, Yabiao, et al.
Published: (2025)
by: Wang, Yabiao, et al.
Published: (2025)
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
by: Zhang, Ximiao, et al.
Published: (2024)
by: Zhang, Ximiao, et al.
Published: (2024)
PiT: Progressive Diffusion Transformer
by: Wu, Jiafu, et al.
Published: (2025)
by: Wu, Jiafu, et al.
Published: (2025)
MadCLIP: Few-shot Medical Anomaly Detection with CLIP
by: Shiri, Mahshid, et al.
Published: (2025)
by: Shiri, Mahshid, et al.
Published: (2025)
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
by: Han, Yue, et al.
Published: (2023)
by: Han, Yue, et al.
Published: (2023)
Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations
by: Wang, Yuji, et al.
Published: (2025)
by: Wang, Yuji, 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)
by: Deng, Zehao, et al.
Published: (2026)
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
by: Tu, Yuanpeng, et al.
Published: (2023)
by: Tu, Yuanpeng, et al.
Published: (2023)
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
by: Ham, Jiyul, et al.
Published: (2024)
by: Ham, Jiyul, et al.
Published: (2024)
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
by: Jin, Yizhang, et al.
Published: (2024)
by: Jin, Yizhang, et al.
Published: (2024)
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
by: Cai, Yuxuan, et al.
Published: (2024)
by: Cai, Yuxuan, et al.
Published: (2024)
AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)
by: Fang, Qingqing, 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)
by: Bai, Letian, et al.
Published: (2026)
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
by: He, Liren, et al.
Published: (2024)
by: He, Liren, et al.
Published: (2024)
Similar Items
-
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023) -
Learning Multi-view Anomaly Detection with Efficient Adaptive Selection
by: He, Haoyang, et al.
Published: (2024) -
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024) -
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
by: Bai, Yuhu, et al.
Published: (2024) -
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)