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Learning optical flow from still images

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

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Abstract

This paper deals with the scarcity of data for training optical flow networks, highlighting the limitations of existing sources such as labeled synthetic datasets or unlabeled real videos. Specifically, we introduce a framework to generate accurate ground-truth optical flow annotations quickly and in large amounts from any readily avail...More

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Author
Filippo Aleotti
Filippo Aleotti
Matteo Poggi
Matteo Poggi
Stefano Mattoccia
Stefano Mattoccia
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