Image de couverture de livre

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Xi, Guo, Yue, Li, Jian, Liu, Yong, Gao, Bin-Bin, Deng, Hanqiu, Liu, Jun, Zhao, Heng, Wang, Chengjie, Zheng, Feng
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
par: Jiang, Xi, et autres
Publié: (2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data
par: Jiang, Xi, et autres
Publié: (2024)

One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
par: Gao, Bin-Bin, et autres
Publié: (2026)

Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
par: Fan, Yuanting, et autres
Publié: (2025)

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
par: Lin, Yifei, et autres
Publié: (2024)

SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
par: Wang, Chengjie, et autres
Publié: (2024)

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
par: Gao, Bin-Bin, et autres
Publié: (2025)

PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
par: Fu, Weifu, et autres
Publié: (2026)

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
par: Liu, Jiaqi, et autres
Publié: (2024)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
par: Gui, Guan, et autres
Publié: (2025)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
par: Xie, Guoyang, et autres
Publié: (2023)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
par: Zhan, Jiawei, et autres
Publié: (2024)

Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
par: Deng, Hanqiu, et autres
Publié: (2024)

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
par: Jiang, Xi, et autres
Publié: (2024)

Deep Industrial Image Anomaly Detection: A Survey
par: Liu, Jiaqi, et autres
Publié: (2023)

ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning
par: Tan, Xiaofeng, et autres
Publié: (2026)

When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
par: Tan, Xiaofeng, et autres
Publié: (2026)

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
par: Wang, Chengjie, et autres
Publié: (2024)

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
par: Jin, Yizhang, et autres
Publié: (2024)

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
par: Zhang, Zhaoxiang, et autres
Publié: (2024)

Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
par: Deng, Hanqiu, et autres
Publié: (2023)

AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation
par: Jiang, Xi, et autres
Publié: (2026)

Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era
par: Zhu, Wenbing, et autres
Publié: (2025)

VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer
par: Hou, Yanning, et autres
Publié: (2026)

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
par: Gao, Bin-Bin, et autres
Publié: (2025)

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
par: Chen, Xuhai, et autres
Publié: (2023)

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
par: Zhang, Jiangning, et autres
Publié: (2024)

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
par: Gao, Bin-Bin
Publié: (2025)

BMAD: Benchmarks for Medical Anomaly Detection
par: Bao, Jinan, et autres
Publié: (2023)

ReCopilot: Reverse Engineering Copilot in Binary Analysis
par: Chen, Guoqiang, et autres
Publié: (2025)

Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
par: Wen, Di, et autres
Publié: (2025)

GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection
par: Psiris, Aggelos, et autres
Publié: (2026)

DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
par: Zhan, Jiawei, et autres
Publié: (2025)

GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
par: Zhang, Jiangning, et autres
Publié: (2023)

FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection
par: Liu, Tongkun, et autres
Publié: (2023)

TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
par: Liu, Yibing, et autres
Publié: (2026)

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning
par: Zhao, Shifang, et autres
Publié: (2025)

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis
par: Yang, Zhiwei, et autres
Publié: (2025)

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
par: Tu, Yuanpeng, et autres
Publié: (2024)

MatchDet: A Collaborative Framework for Image Matching and Object Detection
par: Lai, Jinxiang, et autres
Publié: (2023)