conftrace_

visual anomaly detection

14 papers

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Also known as

VAD

Co-occurring keywords

anomaly detection (747) industrial inspection (26) few-shot learning (3398) vision-language model (2348) visual inspection (11) defect detection (43) industrial anomaly detection (22) zero-shot learning (3650) power line inspection (1) patchcore algorithm (1)

Papers

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026
AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection AAAI 2026
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models CVPR 2025
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection CVPR 2025
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination WACV 2025
Unseen Visual Anomaly Generation CVPR 2025
Vision-Language Models Can't See the Obvious ICCV 2025
ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection under Domain Shift WACV 2025
ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments EMNLP 2025
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study WACV 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NIPS 2024
One-for-All: Proposal Masked Cross-Class Anomaly Detection AAAI 2023