FasterNet
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[CVPR 2023] Code for PConv and FasterNet
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?  the paper  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
 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...