Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections
Author:
Affiliation:
1. Huawei Noah’s Ark Lab,Canada
2. University of Saskatchewan,Dept. of Computer Science
3. University of Toronto
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186529.pdf?arnumber=10186529
Reference35 articles.
1. Cycada: Cycle-consistent adversarial domain adaptation;hoffman,2017
2. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
3. A kernel method for the two-sample-problem;gretton;Advances in neural information processing systems,2006
4. ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
5. Lidarnet: A boundary-aware domain adaptation model for lidar point cloud semantic segmentation;jiang,2020
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