most citedDisentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation

2 citations · 3 across the 3 of their papers we have counts for

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cs.CV2022

Multi-Class 3D Object Detection with Single-Class Supervision

Mao Ye, Chenxi Liu, Maoqing Yao +4

While multi-class 3D detectors are needed in many robotics applications, training them with fully labeled datasets can be expensive in labeling cost. An alternative approach is to…

cs.CV2020★ 2 cited

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation

Lihua Zhou, Mao Ye, Xinpeng Li +3

Recent works in domain adaptation always learn domain invariant features to mitigate the gap between the source and target domains by adversarial methods. The category information…