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Meet VideoChat: An End-to-End Chat-Centric Video Understanding System Developed by Merging Language and Visual Models
MarkTechPost www.marktechpost.com
Real-world applications like autonomous driving and human-robot interaction rely heavily on intelligent visual understanding. Current video comprehension methods’ spatial and temporal interpretations do not successfully generalize and instead rely on task-specific fine-tuning of video foundation models. Due to the task-specific tailoring of pre-trained video foundation models, the existing video understanding paradigm needs to be expanded […]
The post Meet VideoChat: An End-to-End Chat-Centric Video Understanding System Developed by Merging Language and Visual Models appeared first on MarkTechPost.
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