SelFlow: Self-Supervised Learning of Optical Flow

CVPR 2019 Pengpeng LiuMichael LyuIrwin KingJia Xu

We present a self-supervised learning approach for optical flow. Our method distills reliable flow estimations from non-occluded pixels, and uses these predictions as ground truth to learn optical flow for hallucinated occlusions... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Optical Flow Estimation KITTI 2012 SelFlow Average End-Point Error 1.5 # 1
Optical Flow Estimation KITTI 2015 SelFlow Fl-all 8.42 # 3
Optical Flow Estimation Sintel-clean SelFlow Average End-Point Error 3.74 # 3
Optical Flow Estimation Sintel-final SelFlow Average End-Point Error 4.26 # 1