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Hello, I understand that W2D has shown good results with the ResNet model. My understanding is that in ResNet, the final feature maps represent high-level features, which W2D masks and updates through…
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With the introduction of #185 , ResNet18 attributions result in negative attribution sums in the input layer, leading to bad attributions. Although #185 increased the stability of the attribution sums…
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1. It has been mentioned in the paper that `or the first layer, instead of a 7×7 2D convolution, we use a 5×5×5×1 generalized sparse convolution. However, for the rest of the networks, we follow the o…
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你好,关于resenet作为backbone,请问它是选取resnet多少(18,34,50)进行特征提取
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Resnet이 VGG보다 두배정도 좋다길래 해봄
Reference: https://github.com/hwkim94/hwkim94.github.io/wiki/resNet-implementation
Reference: Deep Residual Learning for Image Recognition Kaiming He Xiangyu Zhang Sha…
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@weiliu89
Hi, I know you just added scripts for training ResNet under SSD branch.
1. Does this SSD's code support of trainning ResNet? If it does, where did you realized it? in which file?
2. The sc…
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Hi
I am wondering if the checkpoints of ResNet trained on ImageNet using Haiku (https://github.com/deepmind/dm-haiku/tree/main/examples/imagenet) can be made public? That would be very helpful
T…
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Thanks for your update of pytorch implementation.
I noticed that the accuracies of binary ResNet-34 and binary ResNet-50 are similar. What do you think is the cause? Just for academic discussion, n…
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Hey,
I'm trying to reproduce the published results of the resnet network on the CIFAR10 dataset.
As published in the paper, they were able to achieve a score of 8.22 using resnet network, however I …
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Hi there,
I tried to implement resnet and put it into Jupyter Notebook.
https://github.com/shuuchen/pytorch_tutorials/blob/master/Deep%20Residual%20Network/drn.nbconvert.ipynb
However in the fi…