It is designed to comprehensively assess the capabilities of mllms in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. Videollama 3 is a series of multimodal foundation models with frontier image and video understanding capacity Hack the valley ii, 2018
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This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the.
Wan2.1 offers these key features:
Added a preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the llm background section.
