Paper

AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking

Siamese approaches have achieved promising performance in visual object tracking recently. The key to the success of Siamese trackers is to learn appearance-invariant feature embedding functions via pair-wise offline training on large-scale video datasets... (read more)

Results in Papers With Code
(↓ scroll down to see all results)