Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline
Author:
Affiliation:
1. Beihang University, Beijing, China
2. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China
3. SenseTime Research, Beijing, China
Funder
National Natural Science Foundation of China
Key Research and Development Program of Zhejiang Province
Fundamental Research Funds for the Central Universities
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3503161.3547752
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4. Luca Caltagirone , Lennart Svensson , MattiasWahde, and Martin Sanfridson . 2019. Lidar-camera co-training for semi-supervised road detection. arXiv preprint arXiv:1911.12597 ( 2019 ). Luca Caltagirone, Lennart Svensson, MattiasWahde, and Martin Sanfridson. 2019. Lidar-camera co-training for semi-supervised road detection. arXiv preprint arXiv:1911.12597 (2019).
5. All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
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