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Thanks for sharing your great work!
The MobileNet-v1 you trained achieved 72.9 top-1 acc. which surpasses the reported number (70.6) in original paper by a large margin. Could you please explain th…
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Have you tried to train the model with another non-resnet encoder?
For example mobilenet?
It will take realtime on CPU!
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We need extra dependency on scipy (and maybe others):
```
# pip install scipy
or
# pip3 install scipy
```
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Hello, I hope there is a problem in the process of converting your pre training model to onnx. Can you help me solve it?
I used:
torch.onnx.export For weights / vgg_ ssd300_ Voc0712.pth,B…
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Some months ago, I've added DETR to [HuggingFace Transformers](https://github.com/huggingface/transformers) 🤗 I've replaced the original torchvision backbones (ResNets) such that you can use **any**…
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Could you, please, share a link to fine-tuned pruned models (VGGNet and ResNet-56) for CIFAR10?
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### 🚀 The feature
Thanks for the addition of Swin backbone to the repository. I think the added version is the V1 version of swin transformer. Is it possible to add also Swin-V2 with ImageNet22k pret…
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [x] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- [x] I am reporting…
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Caffe training depth wise convolution is very slow. Is there has plan to reimplement the depth wise convolution?
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I am trying to implement a MobileNets architecture for inference. It was generated in keras and saved using python in a saved_model format. I was able to successfully load the model and set up the run…