Deep Hough Voting for 3D Object Detection in Point Clouds

ICCV 2019 Charles R. QiOr LitanyKaiming HeLeonidas J. Guibas

Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D detectors, they often convert 3D point clouds to regular grids (i.e., to voxel grids or to bird's eye view images), or rely on detection in 2D images to propose 3D boxes... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D Object Detection ScanNetV2 VoteNet [email protected] 58.6 # 4
[email protected] 33.5 # 4
3D Object Detection SUN-RGBD val VoteNet (Geo only) MAP 57.7 # 3

Methods used in the Paper


METHOD TYPE
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