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Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)

Makefile 0.02% Python 3.93% Dockerfile 0.01% Shell 0.04% PowerShell 0.01% Batchfile 0.01% Jupyter Notebook 95.96% CSS 0.03% C 0.01%

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hzwfl2 linerhome wayne980 zeta1999 catofwei sui6662012 marlin-github anonymousdestroyer bxshin

hyperbolic_zsl's Issues

F1 score in devise_hype.py training code

HIi, thanks for releasing the code. I had one query. wouldn't the code calculating f1 score in train and val loop throw an error as it is being computed between input and label representations which is multioutput continuous and is not supported by sklearn ?

poincare embeddings and required files

Hi @ShaoTengLiu
I am interested in the paper and checking the results. There are some embeddings and data files (.npy files) needed to run the code. Can you make the files available or help in regenerating them?

Could you release data?

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