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akshitac8 / tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
MIT License
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Transductive setting's hyperparameters #22

Closed jkmarc closed 3 years ago

jkmarc commented 3 years ago

Hi @akshitac8, is there any chance of providing the transductive setting's hyperparameters for each dataset? thank you

akshitac8 commented 3 years ago

Hello, @jkmarc thank you for your interest in our work. We followed the same transductive setting hyperparameter as mentioned in the f-vaegan-d2 paper.