cs.CV

Drift-Resilient Temporal Priors for Visual Tracking

arXiv:2604.02654v1 Announce Type: new
Abstract: Temporal information is crucial for visual tracking, but existing multi-frame trackers are vulnerable to model drift caused by naively aggregating noisy historical predictions. In this paper, we introduc…