Deep-MVML

A deep learning based multi-view multi-label learning baseline implemented with PyTorch.

Sample Dataset

We use mirflickr as our running example since it is commonly used and has a moderate size. Dataset location: data/mirflickr

Older versions might work as well.

To train the model: bash script/run_train_mirflickr.sh

To test the model (this .sh will be produced automatically): bash script/run_test_mirflickr.sh

The seed is 1 by default, but can be changed in the bash file.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
layer		layer
utils		utils
.gitignore		.gitignore
README.md		README.md
config.py		config.py
emotions.mat		emotions.mat
models.py		models.py
run.py		run.py
run_bak.py		run_bak.py
train.py		train.py