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View Code? Open in Web Editor NEWCMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
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xingxing-123 iamhankai berumotto-vermouth yangmeiyi dawncc 15827068711 knightcheng4 myfamily111 jizongfox geongyu qhfan park123man aryan-at-ul mahiro2211cmt.pytorch's Issues
您好，请问预训练参数在哪里加载？cmt_ti中pretrained=True没有用
Hyper-paramters on cifar-10 and cifar-100 datasets
Could you please share the hyper-parameter settings on cifar-10 and cifar-100 datasets? Thanks a lot!
loading pretrained model
Hello, may I ask how the code you wrote trains your actual classification when loading the pre trained model? After reading the relevant code you wrote, it was not successfully modified. Can you tell me in which section to make the changes？
你好 作者 code里面的差数和论文里面有些对不上 是为了更好的效果吗
Object detection on COCO
Hello, I was wondering if your work will provide object detection code.
Wrong link for cmt_xs.pth
Thanks for sharing these!
I think your released cmt_xs.pth is actually a duplication of cmt_small.pth. Would it be convenient uploading a new one?
Btw, I've also ran some training earlier with a little different structure: keras_cv_attention_models/cmt. The main difference is that I'm using individual relative positional embedding for each attention block like beit. With 305 epochs, cmt_t + 160 input accuracy is 78.94, and I think it's not bad considering the parameters and FLOPs.
About the sequence of the last 1x1 conv and avgpooling
In your paper the last 1x1 conv is behind the avgpooling, but in this implementation the last 1x1 conv is before the avgpooling. Is this a new trick or a mistake？
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