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View Code? Open in Web Editor NEWCode for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"
License: MIT License
Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"
License: MIT License
Are there any fixes for this?
~/R3Net$ python infer.py load snapshot '6000' for testing rwh ./ckpt R3Net 6000.pth Traceback (most recent call last): File "infer.py", line 102, in <module> main() File "infer.py", line 93, in main [rrecord.avg for rrecord in recall_record]) File "/home/ubuntu/R3Net/misc.py", line 67, in cal_fmeasure max_fmeasure = max([(1 + beta_square) * p * r / (beta_square * p + r) for p, r in zip(precision, recall)]) ZeroDivisionError: float division by zero
Can you tell me why the model can't be modified?
For example, After i changed the stride in resnet_101_32×4d.py, it would be wrong since the change
I test the give 6000.pth model on the ECSSD dataset, Fmeasure are 0.7323. I trained myself get the results 0.933. Can you check the 6000.pth is the right model?
Hello, thank you for sharing the code for us to learn the paper.When I run the program,there is a probelm ,which is"File "D:three\R3Net-master\resnext_init_.py.,line 1,in from resnext101 import ResNext101, ModuleNotFoundError:No module 'resnext101'. ".resnext101.py exists. I don't understand why this is a mistake,.May I ask you for help?thank you very much.
Hello, first of all, thank you very much for your code.May I ask if your optimizer has tried Adam and RMSprop?I think the optimizer you used in your code is SGD. May I ask whether it was selected after testing, or just this one?I feel in the training process using SGD in the training speed is relatively slow, but the effect is quite good.
Congralation! However, please make a big contribution for our papers in the future. The existing works in your group seem that they are mostly modified from previous pubilic works in other group! This is not a good idea for community.
您好,请问能提供一份IJCAI参考文献的endnotes样式给我吗?
请问能否提供一下DUT_TEST数据集的saliency map吗?
就是R3Net的对这个数据集的测试结果
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