Learning united visual representation by alignment before projection if you like our project, please give us a star ⭐ on github for latest update Key moments are added by video creators, or in some cases google may detect the content and add key moments automatically. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the.
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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.
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Wan2.1 offers these key features: Check the youtube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds recommended to play each video resolution. Notebooklm may take a while to generate the video overview, feel free to come back to your notebook later.
Added a preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the llm background section. With wan2.2, we have focused on incorporating the following innovations You can find video results for most searches on google search To help you find specific info, some videos are tagged with key moments
Key moments work like chapters in a book to help you find the info you want
