Charig Yang*

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering

"Our objective is to discover and localize monotonic temporal changes in a sequence of images. To achieve this, we exploit a simple proxy task of ordering a shuffled image sequence, with ‘time’ serving as a supervisory signal, since only changes that are monotonic with time can give rise to the corr…