ISDA-for-Deep-Networks
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An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
Hi, thanks a lot for your works. There are two questions that confused me a lot: (1) I think CV_temp is the covariance matrix corresponding to each class, but following...
Thank you for your great work!!! Sorry to bother you, I am confused on the implementation of ISDA for ImageNet, as shown in the following image.  Why do you...
In you paper, the logit in the molecular is not changed, only the logits in the denominator are changed. However, in the code, I find all the logits are changed....
Dear author Thank you very much for your release. I have a question to ask. In the last dim of the network, you use an fc (feature_dim, class_dim) as the...
Do you plan to release the code to visualize CIFAR semantically augmented data any time soon ?
Thanks for your brilliant work! May I ask how ISDA is implemented in the object detection task? I can see the results of object detection on MS COCO, but object...
Hi, ISDA is innovative. But I want to use it to improve performances on other datasets(not imagenet). Can I still use your visualization method (BigGAN) to visualize my dataset? If...
weight_CV: tensor([[[nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], ..., [nan, nan, nan, ..., nan, nan, nan],...
Hi, the ISDA is a nice work and very impressive. I have a question about the effect of ISDA on shallow layers of the network. ISDA augments the deep features,...
Hi, Thanks for sharing the codes. Is this code only for supervised learning? How about the code of ISAD on unlabeled samples? Could you also show them? I would really...