Semi-Supervised Learning of Optical Flow by Flow Supervisor. (arXiv:2207.10314v1 [cs.CV])

A training pipeline for optical flow CNNs consists of a pretraining stage on
a synthetic dataset followed by a fine tuning stage on a target dataset.
However, obtaining ground truth flows from a target video requires a tremendous
effort. This paper proposes a practical fine tuning method to adapt a
pretrained model to a target dataset without ground truth flows, which has not
been explored extensively. Specifically, we propose a flow supervisor for
self-supervision, which consists of parameter separation and …

arxiv cv flow learning semi-supervised semi-supervised learning supervised learning