SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation

arXiv:2307.01024v2 Announce Type: replace
Abstract: Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the potential object with accurate pixel-level location and boundary to generate the high-quality target domain training sample. This key issue constrains the transfer learning of the real-time daytime SOTA trackers for challenging nighttime UAV tracking. Recently, the notable Segment Anything Model (SAM) has achieved a remarkable zero-shot generalization ability to discover abundant potential …

arxiv cs.cv domain domain adaptation sam type