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Agentic Ensemble with Vision-Language Models for Visual Anomaly Detection

Paper recorded by Signals 4 on 2026-10-20 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.AI · 人工智能 · first seen 2026-10-21

Abstract

Visual anomaly detection aims to detect abnormal objects, while anomaly samples are often scarce during model training. Assembling multiple pretrained detectors can help by leveraging their transferable image scores and anomaly maps. However, most existing ensemble methods apply fixed fusion rules over saved predictions which struggle when pretrained detectors clearly disagree due to different tra

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#240 most recent of 960 cs.AI papers we have recorded · ↑ newer: OptScientist: Automated Discovery of Optimization Laws · ↓ older: OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memo
Cite this page: Agentic Ensemble with Vision-Language Models for Visual Anomaly Detection: the #240 most recent of 960 cs.AI papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/agentic-ensemble-with-vision-language-models-for-visual-anomaly-detection.html
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