March 28, 2024, 4:42 a.m. | Hongpeng Pan, Yang Yang, Zhongtian Fu, Yuxuan Zhang, Shian Du, Yi Xu, Xiangyang Ji

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.17994v1 Announce Type: cross
Abstract: This report proposes an improved method for the Tracking Any Point (TAP) task, which tracks any physical surface through a video. Several existing approaches have explored the TAP by considering the temporal relationships to obtain smooth point motion trajectories, however, they still suffer from the cumulative error caused by temporal prediction. To address this issue, we propose a simple yet effective approach called TAP with confident static points (TAPIR+), which focuses on rectifying the tracking …

abstract arxiv challenge cs.cv cs.lg however iccv perception relationships report solution surface temporal test through tracking type video

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