MagNet About the result of deepglobe dataset

hi！ For the deepglobe dataset, I have some questions about the results of the replication. This is the result of my own training backbone network and refined modules： 82384479e176945834d19dfba907c9e I have done many experiments and still can not reproduce the effect of the original paper bb81de9bfe215fef8524c7d39121d40 I want to know what's wrong and there are two groups of Coarse iou and Refinement iou. What do they represent respectively？ I hope to get your answer.Thank you very much!!!

Oct 12 '22 02:10 hly1999

Hi,

The first two lines are the final IoU while the last line is the IoU of a single image (and in this case, this is the last image). There is a problem with your baseline (or coarse) model since it has low result. Could you please share the config you use to train it?

Oct 20 '22 01:10 hmchuong

This is my config config.pdf Another problem is that the training refinement module saves the model of each epoch, but does not give the best one, so which one should be used in the final test?

Oct 20 '22 02:10 hly1999

It's really a baseline problem. My training backbone network score can only reach 62 or 63, while the paper gives 67. Do you know why

Nov 25 '22 04:11 hly1999

How many GPUs you use to train the model? I used 8 V100 GPUs

Dec 16 '22 14:12 hmchuong

I trained the resnet backbone network to use three 3090 gpus. It seems that they are not fully occupied

Dec 19 '22 06:12 hly1999