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Meta proposes CoTracker architecture, which can track video content at multiple points


Meta proposes CoTracker architecture, which can track video content at multiple points

July 19th

Pinwan News, July 19th, according to  the Arxiv  page, Meta AI teamed up with Oxford University scholars to publish a paper, proposing a new architecture CoTracker that can track video content.

CoTracker is able to jointly track multiple points throughout the video. This architecture combines some ideas from the fields of optical flow and tracking to design a new, flexible and powerful model. It is based on a Transformer network that models the temporal correlation of different points.

The paper shows that CoTracker can simultaneously track one to multiple

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Origin blog.csdn.net/jacke121/article/details/131874875