SpeedNet: Learning the Speediness in Videos

CVPR, pp. 9919-9928, 2020.

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We show how this single, binary classification network can be used to detect arbitrary rates of speediness of objects

Abstract:

We wish to automatically predict the "speediness" of moving objects in videos---whether they move faster, at, or slower than their "natural" speed. The core component in our approach is SpeedNet---a novel deep network trained to detect if a video is playing at normal rate, or if it is sped up. SpeedNet is trained on a large corpus of na...More

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