SqueezeNext.PyTorch

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Thanks for sharing wonderful repository. I have one problem while inferencing Squeezenext. I comapre Squeezenextv5 with Squeezenet and Squeezenext showed more inference time than Squeezenet. According to paper, Squeezenext should...

Younghoon-Lee

how can I cite this repo for paper

2

how can I cite this repo for paper, please provide me a citation

Jayan-K-Duggal

I just came across this new thing that you don't have a max pool layer as proposed in baseline squeezenext after first convolution block. Leaving this pooling layer out reduces...

Jayan-K-Duggal

Scaling in all layers

3

I want to know how you are implementing scaling in all the layers in Pytorch, originally which is being done in Caffe model in each layer.

Jayan-K-Duggal

Make layer explaination

1

I want to know how exactly in which order you are appending layers in make layer function, eaxctly how this loop is working. strides = [stride] + [1] * (num_block...

Jayan-K-Duggal