Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Fangwei Zhong*, Kui Wu*, Hai Ci, Churan Wang, Hao Chen
ECCV 2024
Embedded Files
The Collected Multi-Level Data in Complex Room
Noise Level 1
Noise Level 2
Noise Level 3
Noise Level 4
Tracking in Complex Room
Tracking in High-fidelity Environments
Tracking Unseen Targets
Tracking in Real World
Follow a Woman in a Dark Parking Lot
Follow a Woman in a Dark Parking Lot
Follow a Cat in a Dark Parking Lot
Follow a Cat in a Dark Parking Lot
Follow a Man in an Indoor Room with Obstacles (1)
Follow a Man in an Indoor Room with Obstacles (1)
Passively Tracking on Real-world Videos (VOT)
Citation
Citation
@inproceedings{zhong2024empowering,
title={Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL},
author={Zhong, Fangwei and Wu, Kui and Ci, Hai and Wang, Churan and Chen, Hao},
booktitle={European Conference on Computer Vision},
year={2024}
}
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