Video Object Segmentation with the DAVIS Challenge Team
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Video object segmentation allows computer vision to identify objects as they move through space in a video. The DAVIS challenge is a contest among machine learning researchers working off of a shared dataset of annotated videos.
The organizers of the DAVIS challenge join the show today to explain how video object segmentation models are trained and how different competitors take part in the DAVIS challenge. A good companion to this episode is our discussion of Convolutional Neural Networks with Matt Zeiler.
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