NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:159
Title:Joint-task Self-supervised Learning for Temporal Correspondence

The paper presents a new approach to tracking and pixel level correspondence using self-supervised learning in video. It goes in the direction of multi-task learning. As well results are solid. The reviewers at the beginning gave a score of 5,6 and 7, than after rebuttal also the more skeptic reviewer was convinced to improve its rate. . Even the novelty is not to high, the area chair and reviewers agree for an acceptance