AI RESEARCH
Improving Visual Object Tracking through Visual Prompting
arXiv CS.CV
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ArXi:2409.18901v2 Announce Type: replace Learning a discriminative model that distinguishes the specified target from surrounding distractors across frames is essential for generic object tracking (GOT). Dynamic adaptation of target representation against distractors remains challenging because prevailing trackers exhibit limited discriminative capability. To address this issue, we present a new visual prompting mechanism for generic object tracking, termed PiVOT. PiVOT