Comments (7)
Sorry for this. As I need to pass the Duolingo English Test this month, I don't have enough time to update this code. But the only difference between the MC_loss with VGG16 and the MC_loss with ResNet18 is the backbone, just change it for test. Maybe you can refer to this code (https://github.com/Kurumi233/Mutual-Channel-Loss).
After I pass the Duolingo English Test, I will update this code.
from mutual-channel-loss.
all you need to do is change the backbone in CUB-200-2011.py, and change the output channel of the backbone to 600.
from mutual-channel-loss.
Hi @dongliangchang
According to your advise, I have trained ResNet18 from scratch based on this repo. The performance has improved! However the results I obtained (29.89 with CE loss, 51.97 with MC loss) are still much worse than reported in the paper (45.70 with CE loss, 59.41 with MC loss).
Maybe the hyperparameters are not optimal... I am very confused.
from mutual-channel-loss.
I will release the related codes within one month. Thanks for your attention.
from mutual-channel-loss.
I will release the related codes within one month. Thanks for your attention.
Hi, can you please release the related codes? I am very interested in your research and need the codes for researching.
from mutual-channel-loss.
Sorry for this. As I need to pass the Duolingo English Test this month, I don't have enough time to update this code. But the only difference between the MC_loss with VGG16 and the MC_loss with ResNet18 is the backbone, just change it for test. Maybe you can refer to this code (https://github.com/Kurumi233/Mutual-Channel-Loss).
After I pass the Duolingo English Test, I will update this code.
Great! Thank you for your help. I Sincerely wish you pass the Duolingo English Test.
from mutual-channel-loss.
@ChunyunShen @zhangchuanyi96 Hi, I have update the related code. The result of this code is 59.66 ± 0.54 (59.41, 59.16, 60.41).
from mutual-channel-loss.
Related Issues (20)
- Question about Ldiv code HOT 2
- Tensorflow Implementation usage report HOT 1
- 大佬,我又来了,这次是关于判别性区域的问题 HOT 8
- 关于应用在别的网络结构 HOT 5
- Question about Ldis in code HOT 4
- Can this idea transfer to the recognition task that has a lot of category? HOT 7
- Does mc-loss need more training epoches? HOT 4
- Small questions about parameter settings HOT 2
- Where is the model or how to save the model? HOT 1
- dataset HOT 1
- train HOT 4
- About λ(bata_1) HOT 2
- Is it possible to use MaxPool1D instead of MaxPool2D HOT 1
- 训练自己的数据集 HOT 1
- About validation set HOT 2
- Soft Channel labels HOT 1
- Reproducing the results HOT 2
- 请问有人在二分类任务上尝试过吗?
- Interfacing with GradCAM? HOT 9
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