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LiteFlowNet

Introduction

@inproceedings{hui2018liteflownet,
  title={Liteflownet: A lightweight convolutional neural network for optical flow estimation},
  author={Hui, Tak-Wai and Tang, Xiaoou and Loy, Chen Change},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={8981--8989},
  year={2018}
}

Results and Models

Models Training datasets FlyingChairs Sintel (training) KITTI2012 (training) KITTI2015 (training) Log Config Download
clean final EPE Fl-all EPE
LiteFlowNet-pre-M6S6 Flying Chairs 4.43 - - - - - log Config Model
LiteFlowNet-pre-M6S6R6 Flying Chairs 4.07 - - - - - log Config Model
LiteFlowNet-pre-M5S5R5 Flying Chairs 2.98 - - - - - log Config Model
LiteFlowNet-pre-M4S4R4 Flying Chairs 2.20 - - - - - log Config Model
LiteFlowNet-pre-M3S3R3 Flying Chairs 1.71 - - - - - log Config Model
LiteFlowNet-pre (LiteFlowNet-pre-M2S2R2) Flying Chairs 1.38 2.74 4.52 6.49 37.99% 15.41 log Config Model
LiteFlowNet Flying Chairs + Flying Thing3d subset - 2.47 4.30 5.42 32.86$ 13.50 log Config Model
LiteFlowNet-ft Flying Chairs + Flying Thing3d subset + Sintel - 1.47 2.06 - - - log Config Model
LiteFlowNet-ft Flying Chairs + Flying Thing3d subset + KITTI - 1.07 5.45% 1.45 log Config Model