Comments (1)
It seems there is no special limitation for this work.
We perform experiments mainly on classification problems in the paper. But filter grafting algorithm is task-irrelevant. Welcome to try grafting on other domains.
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Related Issues (20)
- Hello author, I directly run the grafting.py file, the cifar10 dataset, and can't train normally, may I ask you, what should I do
- imagenet实验baseline使用step lr,而grafting使用cosine HOT 1
- batchnorm parameters HOT 5
- 你好,使用VGG模型运行grafting_cifar时,出现错误 HOT 3
- 作者你好,想问一个论文中的问题 HOT 1
- 您好,关于论文的一些细节请教。 HOT 1
- 您好,关于grafting.py中的grafting函数有个问题 HOT 2
- graft训练mbv2模型没有优化效果 HOT 9
- 您好,我有几个关于grafting.py代码的问题想请教您 HOT 2
- 请教一下代码中参数α的计算问题
- Is there something wrong? HOT 4
- 关于Grafting.py中的几个问题,盼复
- Ambiguous value for fuse-weight? HOT 1
- filter is batter than layer? HOT 1
- can not reproduce the results HOT 3
- Your baseline model do not converge HOT 2
- Have you tired to train the baseline and grafting models both with cosine learning rate? HOT 2
- Adaptive Weighting公式中的A和c的值为0.4和500是否合适? HOT 3
- 作者你好,请问一下您,直接运行grafting.py,无法直接训练 数据集是CIFAR10 HOT 2
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