Mattia Segù*

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs

"The supervision of state-of-the-art multiple object tracking (MOT) methods requires enormous annotation efforts to provide bounding boxes for all frames of all videos, and instance IDs to associate them through time. To this end, we introduce Walker, the first self-supervised tracker that learns fr…