issues Search Results · repo:Res2Net/Res2Net-PretrainedModels language:Python
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inRes2Net/Res2Net-PretrainedModels (press backspace or delete to remove)Hi, I saw on a paper that he used the res2net_v1b code you posted, and I m not sure if this paper was published by you,
so I wanted to ask if I can use the res2net_v1b code you posted for my paper experiments? ...
Summerx026
- 2
- Opened on Jan 30, 2024
- #77
代码: spx = torch.split(out, self.width, 1) for i in range(self.nums): if i==0 or self.stype== stage : sp = spx[i] else:
sp = sp + spx[i] sp = self.convsi sp = self.relu(self.bnsi) if i==0: out = sp else: ...
VagoLapis
- 1
- Opened on Jan 11, 2024
- #76
Is it possible to provide the self-supervised pre-trained model? Specifically, the model is trained on Imagenet without
using the ground truth label. The model is trained in an self-supervised manner, ...
ForawardStar
- Opened on Oct 11, 2023
- #75
Hi, Dr. Gao, I have a question about model modification. Due to my work setting, I could only set batch_size=1, so I am
going to modify the BatchNorm to GroupNorm. Based on the original code, I just changed ...
CinKKKyo
- Opened on Jun 7, 2023
- #74
Hi, I am the author of SSLD. I noticed that the weight of SSLD has been added to your repo, but here it should be
Res2Net-D instead of ResNet-B. I hope you can confirm it at your convenience.
cuicheng01
- 3
- Opened on Dec 8, 2022
- #72
您好,我现在在复现res2net在imagenet数据集上的分类精度,我参考了论文,res2net50的训练策略如下: scheduler: step_decay lr: 0.1 warmup_epochs: 0
decay_rate: 0.1 decay_epochs: 30 epoch_size: 100 res2net精度可以达到top1: 78.00%,和论文是相符的;
在此基础上添加了cutmix数据增强策略,epoch_size变为300,每75epoch学习率下降为原来的0.1,来训练res2net50-v1b;res2net50-v1b实测精度只有79.80%,与论文相比还差0.5%。因为代码中没有提供训练的参数,可能在某些地方没对齐,想问一下能不能分享一下res2net50-v1b的训练策略或者训练参数。谢谢。 ...
zp5070
- 2
- Opened on Nov 2, 2022
- #71
看res2net的layer1部分:26*4 = 104 ==conv1x1== 256 想减小通道数,把256 改成 64 请问,可以把26改成13,或者更小吗?会有什么不好的影响吗
比如下面: ① 134 = 52 ==conv1x1== 64 ② 74 = 28 ==conv1x1== 64 谢谢
laocan
- 2
- Opened on Sep 23, 2022
- #70
wszhengjx
- 1
- Opened on Sep 13, 2022
- #69
你好请问 for i in range(self.nums): if i==0 or self.stype== stage : sp = spx[i] else: sp = sp + spx[i]
//这里因为两个特征的尺寸不一样并不能加在一起啊?一个是64一个是128
kirkzZ
- 1
- Opened on Aug 8, 2022
- #68

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