Question about DRN performance

[PatMouLu]

Hello, thank you for this nice work.

I am trying to implement the active learning on Cityscapes with DRN model (https://github.com/fyu/drn). I followed the implementation details in your paper: drn_d_22 architecture, Adam optimizer, lr 5e-4, epoch 40, batch size 4, crop size 688. However, the performance already reaches 59.26 mIoU over 30% samples selected randomly, which is much higher than your reported performance in Fig. 8. Could you kindly tell me whether I made anything wrong? or can you share your command to train the drn network?

Thank you very much.

[siyuhuang]

Hi @PatMouLu, thank you for your interest in our work. We also implemented our semantic segmentation experiment based on https://github.com/fyu/drn. For 30% and 100% training data, we got 53.5% and 62% mIoU. VAAL [ICCV'19] reports a similar result for Cityscapes, where 30% data gets ~53.7% mIoU and 40% data gets 56% mIoU with basically identical experimental settings.

I am not quite sure what leads to the performance difference of our implementations. The code for semantic segmentation is not compatible with this repo, so it was not released.