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A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition

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Thanks for the interesting paper. I have 2 questions. 1. The first one is about the assignment process. In the paper, it says that the class centers are updated in...

Hi, thank you for the code. Could you please provide your cifar10 code for reproducing? I have followed your supplemental material and run the code for 1000 epochs for pretraining...

Hi, thanks for your code. I have a question. Is there any code available to calculate alignment and uniformity?

First of all, thanks for such an excellent work! And then I have a doubt about your code that seems to be inconsistent with the paper. #### Your code `loss_target...

Dear author, Thanks for such great work. I am just wondering if you could guide how to execute the code for Cifar and INAT datasets. Cheers

Hi, would you mind to share the code to get the figure1. As described in the paper, 'To illustrate this issue, we consider three classes from CIFAR10: dog, cat, and...

Hi, Thanks for the great work. I want to kindly ask if you can provide the training and testing script for cifar10/cifar100 especially the two `.npy` files for the cifar10/100...