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zsl_methods_imagenet

Zero-shot learning methods for ImageNet:

Configs and models

Config files in "config" folders are just examples. Config files and models used in our experiments are available to download: Config files and models

aux_feats files with encoded class auxiliary (text) features were from: aux_feats pickle files (See Encoded Wikipedia articles (extracted features))

Conda environment

conda.yml contains a Conda environment used for the project. Note that it contains more dependencies than this project requires!

Setup

The project requires to have subprojects directories in PYTHONPATH:

export PYTHONPATH=$PYTHONPATH:${PROJECT_DIR}:${PROJECT_DIR}/CADA-VAE:${PROJECT_DIR}/SimpleZSL

Project

The code from this repository was used in our work, see our project page.

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Zero-shot learning methods for ImageNet

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