Apr 1, 2024 · Video anomaly detection (VAD) aims to temporally locate abnormal events in a video. Existing works mostly rely on training deep models to learn ...
Abstract. Video anomaly detection (VAD) aims to temporally locate abnormal events in a video. Existing works mostly rely on training deep models to learn the ...
Harnessing Large Language Models for Training-free Video Anomaly Detection ... LLMs for detecting anomalies in videos, there exist open ethical challenges ...
A novel training-free method for video anomaly detection that leverages pre-trained large language models and vision-language models to detect anomalies ...
Harnessing Large Language Models for Training-free Video Anomaly Detection ... Abstract: Video anomaly detection (VAD) aims to temporally locate abnormal events ...
Jul 7, 2024 · 「Harnessing Large Language Models for Training-free Video Anomaly Detection」を読んで、動画の異常検知をLLMを 活⽤して実施するところに⾯⽩さを ...
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3 days ago · The newest paper introduces LAnguage-based VAD (LAVAD), utilizing pre-trained large language models for training-free video anomaly detection, ...
Topics · Large Language Models · Semantic Anomalies · Semantic Anomaly Detection · Robot · Anomaly Detection · Foundation Models · Object Manipulation · Stop Sign ...
Harnessing Large Language Models for Training-free Video Anomaly Detection. L Zanella, W Menapace, M Mancini, Y Wang, E Ricci. Proceedings of the IEEE/CVF ...
Jun 20, 2024 · Harnessing Large Language Models for Training-free Video Anomaly Detection, Poster 378,. @lucazanella95. Test-Time Zero-Shot Temporal ...
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