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Any plans to add VGG-16 for TensorFlow and PyTorch?
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Try to use Jordys definition of VGG16 model in GrzegorzMeller solution:
link to the model : https://github.com/JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning/blob/f67ed307c3963e…
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hi, I want to do some work under your work.
I would like to use the pretrained model of SE-VGG-16 network, because our resources are limited, we can't train the SE-VGG-16 network model on ImageNet fr…
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Hi,
did some already implement VGG 16 as backbone and could share his/her code?
@ltrottier you mentioned in another post that you already experimented with VGG 16.
Thanks in advance!
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I noticed that you used bn in caffenet, but why don't you use bn in vgg-16? Do you use bn in vgg16 in your paper ?
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Dear author,
On #7 you said that when you changed PST=3.0, the performance gets better on CUB-VGG. You provided the weight CUB_VGG16BN_O3 and raw branch. I looked through PsyNet-raw-vgg-16 branch and…
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Can you add CBAM version for VGG 16 (pre-trained), model in repo.
Or how can I replicate CBAM version of pre-trained VGG 16
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Adding a folder related to transfer learning in PyTorch, with popular pre-trained models like VGG-16, VGG-19 and several ResNet models (18, 34, 50, 101, 152).
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@prasshantg Hi Prashant these are the errors for the below Caffe models:
All the Caffe models are from the below website:
https://github.com/microsoft/MMdnn/tree/master/mmdnn/models
All the c…
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When setting up VGG 16 model, specifically defining the structure, I get the following:
error: :1:8: error: type 'VGG16' does not conform to protocol 'Layer'
struct VGG16: Layer {
^
Ten…