Low mIoU on Cityscapes

Hi, thanks for sharing your code. I trained the model on the cityscapes dataset (btw, you missed a self here) without code edits and I can get only 68% mIoU. Do you have any pretrained models, or can you describe your training strategy? I trained on a single Tesla v100 GPU, with lr = 0.007 and batch size 8. Thanks in advance

[yazhe2017]

I found the problem for my case probably caused by the function of SynchronizedBN. When I turn of the SynBN and use the nn.BatchNorm2d, I have the highest performance 72% in val dataset without coco pretrained. However, it is weird to note that the miou descends in the middle of training. By the way, my setting is bs=4, base_size=796, crop_size=796, backbone=resnet lr=0.01 1GPU(v100). The current miou is still far away from the state-of-the-art performance, maybe there are other problems.

[fabvio]

Update on the results: very low mIoU (around 0.6). I think there is some additional problem with the code, because I trained also on another dataset (bdd100k) and the results are equally bad. Or maybe my training parameters are wrong, but they are similar to yours…