SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks by 36% to 40% (over the prior best method UFlow) and even outperforms several supervised approaches such as PWC-Net and FlowNet2. Our method integrates architecture improvements from...
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Published in | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 3886 - 3895 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2021
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Subjects | |
Online Access | Get full text |
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