Comments (6)
@yuqiangchu You need train x2 model firstly and then use the pretrained ckpt to initialize the x4 model.
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@Zheng222 But at the x2 scale, the results are still lower than yours as showed in the paper.The results I got at x2 scale are , Set 5 37.99/0.9605, Set14 33.49/0.9170, B100 32.13/0.8991, Urban 100 32.01/0.9269.
So should the model at the x2 scale be trained twice by using the the pretrained x2 ckpt?
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@Zheng222 As I used the pretrained x2 ckpt to retrain the x2 model, the results slightly increased but still lower than yours. Should the model be trained several times untill the results become steady?
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@yuqiangchu You can train the x2 model serveral times when the learning rate is 2e-4 or 1e-4.
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@yuqiangchu hello, I want to ask you if you deal with this question?
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@Zheng222 But at the x2 scale, the results are still lower than yours as showed in the paper.The results I got at x2 scale are , Set 5 37.99/0.9605, Set14 33.49/0.9170, B100 32.13/0.8991, Urban 100 32.01/0.9269. So should the model at the x2 scale be trained twice by using the the pretrained x2 ckpt?
您好,我遇到了和您一样的问题,请问您解决了吗?可否加我QQ:2481654160向您请教一下,谢谢!
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Related Issues (20)
- A question in train_IMDN HOT 1
- adaptive cropping HOT 3
- PSNR HOT 2
- checkpoint下的是训练完的模型吗? HOT 2
- about train dataset DIV2K HOT 1
- Could EDVR be applied with this method? HOT 1
- Average Inference Time
- Quesiton of CCA
- About the test_IMDN.py HOT 4
- Why the running of the IMDN model is becoming so slowly?
- IMDN_AS任意比例 HOT 4
- Model training
- 关于验证与测试psnr不同的问题 HOT 7
- Requset about ERROR HOT 1
- About changing the pytorch model to the tflite model
- num of epoch
- train_IMDN和test_IMDN指标不同
- How to convert pth to tflite
- IMDN_RTE中使用的下采样方法是downsampling+noise,能详细提供一下具体的下采样方法吗
- where "structural re-parameterization" define?
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