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TAPTR: Tracking Any Point with Transformers as Detection
March 21, 2024, 4:45 a.m. | Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Lei Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we propose a simple and strong framework for Tracking Any Point with TRansformers (TAPTR). Based on the observation that point tracking bears a great resemblance to object detection and tracking, we borrow designs from DETR-like algorithms to address the task of TAP. In the proposed framework, in each video frame, each tracking point is represented as a point query, which consists of a positional part and a content part. As in DETR, …
abstract algorithms arxiv bears cs.cv cs.ro designs detection detr framework object observation paper simple tracking transformers type
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