Dec 4, 2023 · Exploring open-vocabulary video action recognition is a promising venture, which aims to recognize previously unseen actions within any arbitrary set of ...
Aug 2, 2024 · The paper introduces a method for improving open-vocabulary video action recognition by integrating Large Language Models (LLMs) with video recognition systems ...
Abstract. Exploring open-vocabulary video action recognition is a promising venture, which aims to recognize previously unseen actions within.
This survey presents the first detailed survey on open vocabulary tasks, including open-vocabulary object detection, open-vocabulary segmentation, and 3D/video ...
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Dec 4, 2023 · To realize this, we innovatively blend video models with Large Language Models (LLMs) to devise Action-conditioned Prompts. Action Recognition ...
May 17, 2024 · A human detector is first employed to generate human proposals on the keyframes and then action classes are recognized by aligning the region ...
Conditioning the prompts on the verb features generated by OAP helps the CLIP recognize the active object. Egocentric datasets [8, 51] focus on a closed set ...
However, with Video-conditioned Text representations that specialize uniquely for each video, we grant more freedom for text embeddings to move in the latent ...
To realize this, we innovatively blend video models with Large Language Models (LLMs) to devise Action-conditioned Prompts. Action Recognition · Descriptive ...