Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
We investigate two crucial and closely-related aspects of CNNs for optical flow estimation: models and training. First, we design a compact but effective CNN model, called PWC-Net, according to simple and well-established principles: pyramidal processing, warping, and cost volume processing. PWC-Net is 17 times smaller in size, 2 times faster …