Self-Supervised Embodied Learning for Semantic Segmentation
Author:
Affiliation:
1. Tsinghua University,Department of Computer Science and Technology,Beijing,China,100084
2. Unmanned Systems Research Center, National Innovation Institute of Defense Technology,Beijing,China,100073
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10364334/10364349/10364408.pdf?arnumber=10364408
Reference16 articles.
1. Semantic Curiosity for Active Visual Learning
2. Seal: Self-supervised embodied active learning using exploration and 3d consistency;Chaplot;Advances in Neural Information Processing Systems,2021
3. Embodied visual active learning for semantic segmentation;Nilsson;ArXiv preprint,2020
4. Embodied learning for lifelong visual perception;Nilsson,2021
5. Move to see better: Self-improving embodied object detection;Fang;ArXiv preprint,2020
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