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Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"

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I used pretrained model uploaded in the link and run inference for SBU test set. These results do not match with the published results. Why is such a case?

I try to run train.py,then error happen.Can anyone help? Traceback (most recent call last): File "D:\Program Files (x64)\PyCharm 2021.1.3\plugins\python\helpers\pydev\pydevd.py", line 1483, in _exec pydev_imports.execfile(file, globals, locals) # execute the script...

Hi guys, Thanks so much for open sourcing your code. However without any license no-one can run/develop from your code. Could you please add a license too, with the code?...

Hello there, I am trying to fine tune the model you shared with a new dataset, but I can't get it running due to the following error: `lib/python2.7/site-packages/torch/nn/functional.py:1749: UserWarning: Default...

when i run this code,it show Attempting to deserialize object on CUDA device 1 but torch.cuda.device_count() is 1. Please use torch.load with map_location to map your storages to an existing...

Hello, first thanks for sharing the code and the trained network. I downloaded 3000.pth that you provided, and wanted to do further fine tuning on other shadow dataset. When I...

UCF dataset cannot be accessed, can you provide it? Thank You!!

Hi, My GPU memory is enough, 11GB, but I run the training code and obtain the following errors: -------------------------------------------------------------------------------------------------------------------------- /usr/local/lib/python2.7/dist-packages/torch/nn/functional.py:1890: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.functional.upsample is deprecated....

Hi @zijundeng , I have loaded your pre-trained model and inference, but I got Ber = 5.20. I have ensured that my evaluation code is right, while I used your...

thank you for your great job! but i want to remove the shadow,how to do this? Could you give me some ideas?