Comments (5)
使用您提供的模型model600,效果确实跟论文中的一样,请问是否我训练步骤哪里出问题了?
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@zyf1040895256 您好!你这是在linux上跑的吗?在linux上跑的时候遇这个问题,您遇到了吗?
没遇到过,环境问题吧。
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Hi @zyf1040895256, 看复现的结果除了sigma=1.8外其他场景下与我们的结果差异都不是很大,甚至有些场景比我们文中的结果还要更好。我们网络中的退化表示学习部分属于无监督学习,无监督学习相比于有监督学习来说随机性更强一些,多次训练的性能波动更大一些。建议多train几次应该就可以得到更好的性能。
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I meet the same issue. The performance of DASR is even lower than predictor+SRMDNF 0.8dB on Set5! (We have train 5 parallel DASR models, and select the best one.)
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Hi @zyf1040895256, 看复现的结果除了sigma=1.8外其他场景下与我们的结果差异都不是很大,甚至有些场景比我们文中的结果还要更好。我们网络中的退化表示学习部分属于无监督学习,无监督学习相比于有监督学习来说随机性更强一些,多次训练的性能波动更大一些。建议多train几次应该就可以得到更好的性能。
作者您好,能加下您的QQ么? 我的qq是3032296648
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Related Issues (20)
- ValueError: Cannot load file containing pickled data when allow_pickle=False HOT 1
- 你好,生成退化表示是一维的吗? HOT 1
- Quiktest problem
- 模型结果存放位置 HOT 1
- 关于训练和测试阶段图像大小不一致的疑问 HOT 1
- 关于正样本与负样本的选取问题 HOT 3
- CUDA out of memory.
- 训练问题
- 数据集加载问题 HOT 1
- How can I solve this problem? HOT 3
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED 和 RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:450 HOT 1
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED 和 RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:450 #89
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- 无监督体现在哪里呢
- 请问Train所用时间大概多久呢
- 请问为什么在准备数据的时候需要将png文件转换成pt文件
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