VT-LVLM-AR converts video into quantized 'visual event sentences' and classifies actions with a frozen LLaVA-1.5 using prompt tuning, claiming 94.1% on NTU RGB+D X-Sub.
Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,
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VT-LVLM-AR: A Video-Temporal Large Vision-Language Model Adapter for Fine-Grained Action Recognition in Long-Term Videos
VT-LVLM-AR converts video into quantized 'visual event sentences' and classifies actions with a frozen LLaVA-1.5 using prompt tuning, claiming 94.1% on NTU RGB+D X-Sub.