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论文中说的是,初始化权重 , 请大神们指点一下
尤其是 步骤。
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作者您好,在该实验中你们提供了数据集的中间特征信息,那么我在训练完自己的数据集后,如何进行测试呢?
lmqMM updated
2 years ago
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Firstly, thanks for you great work.
I have done several experiments using your codes, and most experimental results are satisfied. For cifar10, the best acc is 0.8982 with 250 labels, 0.9438 with 400…
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Do you have pretrained models available for evaluation?
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在使用 PaddleCV/image_classification/models/res2net_vd.py 里面的 Res2Net200_vd_26w_4s 模型是报错.
`
Traceback (most recent call last):
File "classification/train_cls.py", line 180, in
train_cls(settin…
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Thanks for your nice work~ but I met some questions when I used this model in the customer dataset.
I trained a nice model that achieved satisfying mAP in the validation dataset and the first tes…
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## 综述
- [DeepLearning 综述]DeepLearning Classification [[blog]](https://blog.csdn.net/Fire_to_cheat_/article/details/103840981)
- (2019.01) A Survey of the Recent Architectures of Deep Convolution…
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您好,关于pse训练这块我有几个问题想请教一下:
1.基于像素分割的pse算法,正常应该对于有印章遮挡这种效果不好,您这个模型权重的结果却比较好,是因为您的样本包含这样的情况是吗?如图:
![image](https://user-images.githubusercontent.com/17916482/90607554-f59ae500-e233-11ea-8f3e-78133c55e58…
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I follow the [installation Doc](https://github.com/open-mmlab/mmdetection/blob/master/docs/en/get_started.md), and failed when download config and checkpoint file:
```
mim download mmdet --config …