Fast-Slow Test-time Adaptation for Online Vision-and-Language Navigation
Junyu Gao, Xuan Yao, Changsheng Xu
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences.
Our code will be coming soon!
Our implementations are partially based on VLN-DUET, HM3DAutoVLN and VLN-BEVBert. Thanks to the authors for sharing their code.
- Reverie: Remote embodied visual referring expression in real indoor environments
- Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
If you find this project useful in your research, please consider cite:
@inproceedings{Gao2024Fast,
title={Fast-Slow Test-time Adaptation for Online Vision-and-Language Navigation},
author={Junyu Gao and Xuan Yao and Changsheng Xu},
journal={Proceedings of the 41st International Conference on Machine Learning},
year={2024},
url={}
}
If you have any questions, comments or suggestions, please feel free to get in touch with us via the contact information below: junyu.gao@nlpr.ia.ac.cn.