TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement

Author:

Doersch Carl1,Yang Yi1,Vecerik Mel1,Gokay Dilara1,Gupta Ankush1,Aytar Yusuf1,Carreira Joao1,Zisserman Andrew1

Affiliation:

1. Google DeepMind

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward Robust Keypoint Detection and Tracking: A Fusion Approach With Event-Aligned Image Features;IEEE Robotics and Automation Letters;2024-09

2. Addressing Single Object Tracking in Satellite Imagery through Prompt-Engineered Solutions;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. ChoreoVis: Planning and Assessing Formations in Dance Choreographies;Computer Graphics Forum;2024-06

4. OneSLAM to map them all: a generalized approach to SLAM for monocular endoscopic imaging based on tracking any point;International Journal of Computer Assisted Radiology and Surgery;2024-05-22

5. RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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