Comments (6)
My god... Many thanks for this important information. It is a terrible mistake. I didn't notice this fine_label=True
thing.
I will soon delete my thing on paperswithcode and modify the paper, and I will re-run the CIFAR-100 experiment as soon as possible.
Many thanks for your information.
from open-aff.
It's my pleasure if I can help with your work.
I am looking forward to new results.
from open-aff.
Many thanks!
I will try to report the new CIFAR-100 results training from scratch in 24 hours.
Luckily, the ablation study results still hold since they are all compared in 20 superclasses (I will explain it in the paper that the accuracies are on 20 superclasses), and the ImageNet experiments has no such problems.
from open-aff.
Emmm... I have submitted the Machine Request to the HPC for nearly 24 hours, but it is still in queue...
I will keep updating the progress.
Edit: I have applied one machine, and the new experiment is running.
from open-aff.
Hi. The accuracy of AFF-ResNeXt-47 training from scratch on the fine-grained CIFAR-100 is 85.4%. The trained models and log file is uploaded.
from open-aff.
I trained ResNet-32 (not AFF-ResNet-32) in your implementation with fine_label=True
on my computer with a 1080Ti GPU.
The validation accuracy is 82.6% which is close to accuracy of WideResNet-34k4 in my own implementation.
Your AFF-ResNeXt-47 result (85.4%) also seems to be reasonable.
from open-aff.
Related Issues (20)
- AFF-FPN HOT 3
- ASKCResNetFPN
- 您好,请问AFF模块中的最后一步为什么要乘以2?有什么意义呢?希望收到您的回复 HOT 2
- TypeError: forward() missing 1 required positional argument: 'residual' HOT 2
- resnet50预训练模型 HOT 3
- module -> self.global_att2
- __init__() takes from 1 to 3 positional arguments but 6 were given
- 代码中AFF模块中,为什么要用2×呢? HOT 1
- 请教 这种特征融合思路能否应用到 NLP 中?
- 可否进行实现三种特征图的融合 HOT 1
- Concat and fusion instead of add in iAFF and AFF
- iAFF类的forward函数中, xg2 = self.global_att(xi) 这一行是不是笔误 HOT 1
- 运行模块时报错请教 HOT 1
- aff使用于fpn或者Unet结构 HOT 2
- When the website will be ready?
- 为何将iaff加入到resnet第一层会报如下错误:TypeError: forward() missing 1 required positional argument: 'residual'
- 您好可以发一下iAFF-ResNeXt-50-32x4d训练ImageNet的权重文件吗
- ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 256, 1, 1]) HOT 2
- 关于BN层 HOT 2
- 请问怎么在pytorch直接使用AFF呀? HOT 1
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