Comments (2)
huangzehao
commented on August 16, 2024
Hi, I didn't reproduce the multi scale result too. My results are worse about 0.1~0.2 dB. Actually my training solver is not the best setting, this is one of the reasons. And maybe there are some trick in the training of multi scale. You can email the author for help.
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zhangfudiyi
commented on August 16, 2024
clip_gradients 有没有测试其他的下降值，比如0.01 0.2 0.5 。我怀疑是不是这个问题。我的电脑训练太慢了 ，不然我想测试一下。我也邮件问了作者，发过去完全没反应，都不理我。
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Related Issues (20)
- Multi-Scale Implementation HOT 10
- Caffemodels corresponding to VDSR_official.mat and VDSR_ADAM.mat HOT 3
- This version isn't use the clip-gradients? HOT 2
- about the data sample HOT 3
- loss during training HOT 9
- Test Function at Caffe HOT 2
- Error in VDSR_Matconvnet (line 15) HOT 4
- A display bug in Demo_SR_Conv.m ?
- how to get high resolution output by using my own image data?
- Questions about parameters HOT 2
- sr_psnr less than bicubic psnr HOT 6
- Test code in pyCaffe/C++ HOT 7
- About learning rate HOT 2
- File for training data is offline – alternative location? HOT 2
- Data Preprocessing HOT 2
- About GPU load
- loss nan
- Thanks and some questions HOT 1
- Questions about usage HOT 1
- Some questions about DEM(>255)
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