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Thanks for publishing such an inspiring method and sharing the code.
Using classification loss to deal with the dataset CIFAR10 with VGG, one should achieve a testing acc. more than 70%(In fact, it s…
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The link to downlod the resnet-101-0000.params is not exits!
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Could you add a code which extracts VGG features from images for image captioning task? This would be a nice starting point if someone wants to try playing with tuning the image captioning setup or ju…
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I am trying to extract features from an image using the ssd_vgg_300 code by outputing the weights multiplied by inputs. Can you let me know what part of the code I need to change to output features fr…
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Hi,
I've trained the VGG-GRU network for around 700k artificially generated images, and i got 96% accuracy for test data (about 140k generated image), but when i test the trained the model on real-i…
ghost updated
5 years ago
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Hi,
I am trying to run the code for l1-norm-pruning on windows machine. But I am getting an error due to multiprocessing failure as follows:
RuntimeError:
An attempt has been made to start a ne…
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I found that when using nn.data_parallel along with this library, there will be issues during model forward on multi-GPU as when modifying torch vision network (such as in modify_resnets function) typ…
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Hello, I appreciate your work very much!
but I want to know how the decoder of StyleVAE pre-training model in the second stage is trained? _(vgg_normalised.pth and fc_encoder_iter_160000.pth)_
I…
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Hello, I admire you for doing such an excellent job. I would like to ask how you designed this CNN architecture to achieve such good performance in the end? How did you determine the structure of the …
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Hi, package developers,
I encountered an issue with the import robustness. dataset and I think the potential problem occurs in the vgg.py file under imagenet models.
potential changes from
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