Comments (2)
Thanks for your help.
from eccv22-foster.
Thank you so much for your interest in our work.
DER claims they use the standard resnet-18 rather than the modified resnet-32 for CIFAR-100, and the following is copied from the implementation details in the paper.
We note that most previous works use a modified 32-layers ResNet, which has fewer channels and residual blocks compared to standard ResNet-32. We argue that such a small network is not suitable because it cannot achieve competitive results on CIFAR100 compared with standard 18-layers ResNet and may underestimate the performance of methods. We run these methods with standard ResNet-18 on the same class orders based on their code implementation.
They also report the performance on CIFAR-100 with the modified 32-layers ResNet in the appendices (table 7, 8), and you can refer to that for a fair comparison.
Hope this clarifies your queries.
from eccv22-foster.
Related Issues (17)
- Missing configuration file HOT 1
- NameError: name 'cdist' is not defined HOT 1
- How to train B0 Setting HOT 2
- How to reproduce the result of B0 10steps in CIFAR100. HOT 2
- The CNN top1 curve in experiment HOT 1
- Unable to reproduce paper results HOT 6
- foster-cifar100.json 与 foster-rmm.json区别 HOT 2
- The config json file of training ImageNet1k.
- Possible problem that some formulas in Logits Alignment do not correspond to codes HOT 2
- Imagenet100 dataset load HOT 2
- the setting ”temperature scalar T to 2“ is not in codes? HOT 1
- Why Bound has different results ? HOT 4
- The specific experimental data for each method in performance.png
- About ImageNet-1k training
- log.txt HOT 4
- logits
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