Abstract: We present an improved approach for 3D object detection in point clouds data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method ...
self.sa1 = PointNetSetAbstraction(npoint=512, radius=0.2, nsample=32, in_channel=6+additional_channel, mlp=[64, 64, 128], group_all=False) self.sa2 ...
self.sa1 = PointNetSetAbstractionMsg(512, [0.1, 0.2, 0.4], [32, 64, 128], 3+additional_channel, [[32, 32, 64], [64, 64, 128], [64, 96, 128]]) self.sa2 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results