Comments (2)
The result in the paper is based on the architecture of that prototxt. Since PeleeNet uses the different bottleneck width in the different stage, the figure is drawn based on 4x growth rate to make it is easier to compare to the original DenseNet. But I think the output that you described above is a little different from the prototxt file. For each branch, It should be {k/2, k/2} in stage 1, {k, k/2} in stage 2, and {2k, k/2} in stage 3 and stage 4.
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thanks for your answer.
in my description, i assume k has different value in different stages. (stage1: k=32; stage2: k=64, ...)
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Related Issues (20)
- fine tuning with different number of classes HOT 1
- peele-SSD add_extra_layers_pelee
- About the stanford dog dataset. HOT 3
- how can i get the fps=120 on nvidia tx2? please help me HOT 1
- Calculation of number of parameter, macc, and flops HOT 3
- pytorch pretained model
- max_iter
- Does it support 512 or bigger input size? HOT 1
- question for iteration HOT 1
- can not download the pretrained PeleeNet model
- one question
- Question for peleeNet structure
- How can I train my own model?
- train error
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- Question about 1x1 convolutional kernels to reduce computational cost
- the paper was accepted two years ago???
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