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[CVPR 2023] Code for PConv and FasterNet

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Can I use 416*416 picture as input? what about 448*448 in detection without pre-training model?Could fasternet as YOLOV3 backbone?

Great work! But why not use activation functions after downsampling convolutions?

hi,in your paper, for a stage,the PConv is before PWconv+BN+Act+PWconv, but in the code , the order is reversed? ![image](https://user-images.githubusercontent.com/78601159/232209951-ccb981e5-54f8-438d-af7e-728c8cbde5b3.png) the paper ![image](https://user-images.githubusercontent.com/78601159/232209889-c561124d-916b-498f-ac22-d704c7993663.png) the code

nice work,Can you train a large network of 128,256,512,1048?

hello,just as the paper showing , A PConv followed by a PWConv,but I can't find the PWConv in your code.can you help me? thank you!

Hello, thank you for your simple but powerful work. There is a question about the Partial_conv3. I test the inference speed with 'slicing' mode and 'split cat' mode and find...

compared with mbv2 and shufflenetv2 fasternet has a bigger size, this caused limitations deploy on edge devices.

Are there any examples of PConv migrating to other detection frameworks? For example, YoloV5, YOLOV8

![image](https://user-images.githubusercontent.com/67211653/228843812-29ae9bb5-8038-4b18-a81f-5b1a5f193366.png) When using this function to combine pconv and bn,Because pconv uses partial dimensions for the volume machine。This causes the dimensions of kernel and t to be inconsistent。What should I...