Comments (15)
@hiyyg Hi, many thanks for being interested in my work. I am considering to fully convert to PyTorch and extend the conference paper to a journal article with more experiments.
If the accuracy of my new PyTorch implementation (not done yet) does not drop, I will release the pretrained models for PyTorch version. Please stay patient. I will update the process in this issue in the following days.
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Waiting for your pytorch version
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@YimianDai Waiting for your pytorch version
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I am going to convert to PyTorch since it is the most dominant framework. It is a bit meaningless to release the code in a framework that few people are using, although I like MXNet very much.
But not in the near future. I am in quite a chaos and uncertain status recently.
If everything is set, I am planning to re-implement it in PyTorch in the coming spring festival.
from open-aff.
I am going to convert to PyTorch since it is the most dominant framework. It is a bit meaningless to release the code in a framework that few people are using, although I like MXNet very much.
But not in the near future. I am in quite a chaos and uncertain status recently.
If everything is set, I am planning to re-implement it in PyTorch in the coming spring festival.
Okay, thank you very much, I look forward to seeing the pytorch version of aff in the near future~
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@1187697147 Hi, @bobo0810 has contributed a Pytorch version https://github.com/YimianDai/open-aff/tree/master/aff_pytorch. Although it is not written by me, I hope it will help you.
As to me, currently, I am busy with finalizing my PhD Oral defense. I think I will have a lot of free time next week (I hope so) and will start to do all the things that I have ever promised in my replied issues of this repo.
Sorry for the delay.
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@YimianDai Nice, good luck to you and thanks for your work!
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Description:
- MS_CAM, AFF, iAFF fusion operation are completely consistent with the MXNet version.
- AFF-ResNet is Pytorch official ResNet + AFF/iAFF.
Good luck!:smiley:
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@bobo0810 @YimianDai Thanks for your great work, do you have pretrained models for pytorch version?
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@bobo0810 @YimianDai Thanks for your great work, do you have pretrained models for pytorch version?
Unfortunately:pensive:, I may not be able to provide it. Because I only apply it to the company's private data set.
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@hiyyg Hi, many thanks for being interested in my work. I am considering to fully convert to PyTorch and extend the conference paper to a journal article with more experiments.
If the accuracy of my new PyTorch implementation (not done yet) does not drop, I will release the pretrained models for PyTorch version. Please stay patient. I will update the process in this issue in the following days.
What's the result, please?
from open-aff.
I am working on this. The next version will be PyTorch and Open-MMLab based.
from open-aff.
I am working on this. The next version will be PyTorch and Open-MMLab based.
Got it. Thank you for your reply. Looking forward to your work
from open-aff.
@hiyyg Hi, many thanks for being interested in my work. I am considering to fully convert to PyTorch and extend the conference paper to a journal article with more experiments.
If the accuracy of my new PyTorch implementation (not done yet) does not drop, I will release the pretrained models for PyTorch version. Please stay patient. I will update the process in this issue in the following days.
Hello, thanks for your good repository, Can you release pre-trained models for Pytorch?
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请问有tensorflow版本的代码吗?
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Related Issues (20)
- AFF-FPN HOT 3
- ASKCResNetFPN
- 您好,请问AFF模块中的最后一步为什么要乘以2?有什么意义呢?希望收到您的回复 HOT 2
- TypeError: forward() missing 1 required positional argument: 'residual' HOT 2
- resnet50预训练模型 HOT 3
- module -> self.global_att2
- __init__() takes from 1 to 3 positional arguments but 6 were given
- 代码中AFF模块中,为什么要用2×呢? HOT 1
- 请教 这种特征融合思路能否应用到 NLP 中?
- 可否进行实现三种特征图的融合 HOT 1
- Concat and fusion instead of add in iAFF and AFF
- iAFF类的forward函数中, xg2 = self.global_att(xi) 这一行是不是笔误 HOT 1
- 运行模块时报错请教 HOT 1
- aff使用于fpn或者Unet结构 HOT 2
- When the website will be ready?
- 为何将iaff加入到resnet第一层会报如下错误:TypeError: forward() missing 1 required positional argument: 'residual'
- 您好可以发一下iAFF-ResNeXt-50-32x4d训练ImageNet的权重文件吗
- ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 256, 1, 1]) HOT 2
- 关于BN层 HOT 2
- 请问怎么在pytorch直接使用AFF呀? HOT 1
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