Apr 1, 2024 · A method tackling VAD in a novel, training-free paradigm, exploiting the capabilities of pre-trained large language models (LLMs) and existing vision-language ...
We introduce the first training-free method for video anomaly detection (VAD), diverging from state-of-the-art methods that are ALL training-based with ...
In this supplementary material, we first provide the exact form of the prompts employed in our method and then we present additional experimental analyses.
We propose LAVAD, the first language-based method for training-free VAD using LLMs to detect anomalies exclusively from a scene description. Report issue for ...
A method tackling VAD in a novel, training-free paradigm, exploiting the capabilities of pre-trained large language models (LLMs) and existing vision-language ...
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This paper proposes LAnguage-based VAD (LAVAD), a method tackling VAD in a novel, training-free paradigm, exploiting the capabilities of pre-trained large ...
A method tackling VAD in a novel, training-free paradigm, exploiting the capabilities of pre-trained large language models (LLMs) and existing vision-language ...
Sep 24, 2024 · One line of research introduces external LLMs to assist frozen VLMs to reason in VAD [49, 55] . It uses VLMs to caption what they see given ...
Apr 1, 2024 · View recent discussion. Abstract: Video anomaly detection (VAD) aims to temporally locate abnormal events in a video.
Nov 3, 2024 · Speaker: Juyeong Hwang([email protected], https://github.com/JuyeongHwang) Target paper: Harnessing Large Language Models for Training-free ...
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