Temporal Self-Distillation: Learning Visual State Tracking in Videos Without Supervision
This work introduces S$^3$T (Self-Supervised Self-Distillation over Time), which is the first fully self-contained framework for continuous video state tracking and treats temporal sampling density as privileged information, based on the hypothesis that a denser view of the same clip recovers the running state more acc...