PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

NeurIPS 2019 Can QinHaoxuan YouLichen WangC. -C. Jay KuoYun Fu

Domain Adaptation (DA) approaches achieved significant improvements in a wide range of machine learning and computer vision tasks (i.e., classification, detection, and segmentation). However, as far as we are aware, there are few methods yet to achieve domain adaptation directly on 3D point cloud data... (read more)

PDF Abstract NeurIPS 2019 PDF NeurIPS 2019 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Unsupervised Domain Adaptation PreSIL to KITTI PointDAN [email protected] 17.1 # 1

Methods used in the Paper


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