facebookresearch / SparseConvNet

Submanifold sparse convolutional networks
https://github.com/facebookresearch/SparseConvNet
Other
2.03k stars 332 forks source link

On ShapeNet segmentation results #107

Open kentang-mit opened 5 years ago

kentang-mit commented 5 years ago

Hi authors,

Thanks for your great implementation of sparse convolution and the paper~ I ran the 3D shape part segmentation experiments provided in examples/3d_segmentation recently and I modified the architecture according to what Benjamin pointed out in #10 . However, after training the network for 100 epochs, I'm getting around 83% mIoU in the 10-view test, instead of 86%, which is what you have achieved in the contest. Could you please help me find out the problem with the experiments? b.t.w. I modified the code so that the entire trainval set is used in training. Except for that, the data augmentation, evaluation scripts etc. are remain unchanged.

Best, Ken

faultaddr commented 4 years ago

Hi, Could u get the result 86% right now?

kentang-mit commented 4 years ago

@panyunyi97 Hi, I'm not working on this project recently. Sorry about that.