Sadudu / SelFlow

SelFlow: Self-Supervised Learning of Optical Flow

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SelFlow: Self-Supervised Learning of Optical Flow

The official Tensorflow implementation of SelFlow (CVPR 2019 Oral).

Authors: Pengpeng liu, Michael R. Lyu, Irwin King, Jia Xu

Currently, we only release testing code. Training code and models will come soon. Please first check our previous version DDFlow, which employs a simple but effective strategy to cope with occluded pixels.

Our SelFlow is the 1st place winner on Sintel Optical Flow Benchmark since November 2018.

Citation

If you find SelFlow useful in your research, please consider citing:

@inproceedings{Liu:2019:SelFlow, 
title = {SelFlow: Self-Supervised Learning of Optical Flow}, 
author = {Pengpeng Liu and Michael R. Lyu and Irwin King and Jia Xu}, 
booktitle = {CVPR}, 
year = {2019}
}

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SelFlow: Self-Supervised Learning of Optical Flow

License:MIT License


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Language:Python 100.0%