SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

7 Jun 2020Qingdong HeZhengning WangHao ZengYi ZengShuaicheng LiuBing Zeng

Accurate 3D object detection from point clouds has become a crucial component in autonomous driving. However, the volumetric representations and the projection methods in previous works fail to establish the relationships between the local point sets... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Object Detection KITTI Cars Easy SVGA-Net AP 91.67% # 1
3D Object Detection KITTI Cars Hard SVGA-Net AP 74.63% # 3
3D Object Detection KITTI Cars Moderate SVGA-Net AP 82.95% # 1
3D Object Detection KITTI Cyclists Easy SVGA-Net AP 79.22% # 2
3D Object Detection KITTI Cyclists Hard SVGA-Net AP 57.64% # 2
3D Object Detection KITTI Cyclists Moderate SVGA-Net AP 66.13% # 1
3D Object Detection KITTI Pedestrians Easy SVGA-Net AP 55.21% # 2
3D Object Detection KITTI Pedestrians Hard SVGA-Net AP 44.56% # 1
3D Object Detection KITTI Pedestrians Moderate SVGA-Net AP 47.71% # 1

Methods used in the Paper


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