A multi-branch video-language model with person-specific ViTPose encoders and a frozen LLaMA 2 generates open-vocabulary descriptions of human interactions, and a merged 103-class benchmark is introduced.
Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,
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OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models
A multi-branch video-language model with person-specific ViTPose encoders and a frozen LLaMA 2 generates open-vocabulary descriptions of human interactions, and a merged 103-class benchmark is introduced.