In prior work, it has been shown that policy-based exploration is beneficial for continuous action space in deterministic policy reinforcement learning(DPRL).
After aligning the interior points with fused features, the proposed network refines the prediction in a more accurate manner and encodes the whole box in a novel compact method.
Accurate 3D object detection from point clouds has become a crucial component in autonomous driving.
Ranked #1 on 3D Object Detection on KITTI Pedestrians Hard
In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.