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SimonVandenhende / Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
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hrnet18+padnet #24

Open hanxuel opened 2 years ago

hanxuel commented 2 years ago

Thank you very much for sharing the wonderful code! Your work is definitely very helpful for MTL community.

I am contacting you because I try to reproduce the result of hrnet18+padnet on nyud dataset. Literally

  1. downloaded the pretrain model of hrnet_w18_small_model_v2.pth
  2. python main.py --config_env configs/env.yml --config_exp configs/nyud/hrnet18/pad_net.yml But the performance is only Semantic Segmentation mIoU: 33.4665 depth 0.7267, not the result in your paper, do you have idea why is it?

Looking forward to hearing from you soon! Thank you!

BanaBanaBanaa commented 2 years ago

Hi！ Have you solved this problem? I met the same problem while I used the Pascal dataset. The results of segmentation was 15.1530.