chaolong.yang

About 2D mIOU for joint training

2

I reproduced your source code with no other substantial changes, and with the parameter settings of UNet34 for the 2D network and Mink18A for the 3D network and voxel size=5cm,...

Thank you very much for your excellent work, I had the following problems in reading your training code and test code： In 'train.py' file, val_sampler=torch.utils.data.distributed.DistributedSampler(val_data) , with dist.all_reduce(intersection), dist.all_reduce(union), dist.all_reduce(target)....

Thank you for your excellent MEAD work. Could you provide a download link to the MEAD test set for research purposes? Thanks for your reply.

Could you provide the HDTF data in your processing for a fair comparison? If convenient, can you give me a download link?

Overfitting in 2D training.

1

Dear Mr. Jaritz, When I was reproducing the paper, there was an overfitting phenomenon when training a 2D network. The mIOU of 2D image semantic segmentation was only about 50%,...