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This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

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hi,you published this article EXPLORING BALANCED FEATURE SPACES FOR REP￾RESENTATION LEARNING. It says that Code is available at https://github.com/bingykang/BalFeat. But I try to open this link, I find it is...

Hi thanks for your work. Not to mention that your code is also brilliant :) I'm curios with the shell script you shared on Readme From what I read, tau...

Dear experts or scholars: Thanks for your excellent work on long tail recognition.Your paper is now inevitable to read and I have read many times. I have a question about...

we define a class where the number of data is less than 20 as few. If some classes only have like 3 pictures. How do you do class-balanced sampling

Hi there, I think models/TauNormClassifier.py is missing since I see only the class DotProduct_Classifier inside it. could you kindly provide it? I have problem with tau_norm.py as well since I...

Images listed in data/ImageNet_train cannot be found in ImageNet 2014(http://www.image-net.org/challenges/LSVRC/2014/),

Hi! You said you sampled a balanced testing distribution from the training set in order to determine tau. Could you point me to the code which does this? In addition,...

Firstly, thank you very much for your excellent research. I wonder if this work if suitable for detection? The weight norm of classify layer is propotional to the category weights,...