Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

30 Dec 2019Qi ChenLin SunZhixin WangKui JiaAlan Yuille

Accurate 3D object detection in LiDAR based point clouds suffers from the challenges of data sparsity and irregularities. Existing methods strive to organize the points regularly, e.g. voxelize, pass them through a designed 2D/3D neural network, and then define object-level anchors that predict offsets of 3D bounding boxes using collective evidence from all the points on the objects of interest... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D Object Detection KITTI Pedestrians Moderate HotSpotNet AP 44.81% # 2

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