Multimodal extreme classification

@InProceedings{Mittal22, 
    author    = {Mittal, A. and Dahiya, K. and Malani, S. and Ramaswamy, J. and Kuruvilla, S. and 
                 Ajmera, J. and Chang, K. and Agrawal, S. and Kar, P. and Varma, M.},     
    title     = {Multimodal extreme classification},
    booktitle = {CVPR}, 
    month     = {June},
    year      = {2022}
}

SETUP WORKSPACE

mkdir -p ${HOME}/scratch/XC/data 
mkdir -p ${HOME}/scratch/XC/programs

SETUP DATASET

Download dataset from XML Repository

cd ${HOME}/scratch/XC/data
gdown --id 1bV5d_SOw6pNXWrQecihcSc2xkqUcXMFO (from gdrive url)
unzip MM-AmazonTitles-300K.zip
cd -

NOTE: If you need pre-downloaded images (128x128) kindly fill out this form

SETUP MUFIN

cd ${HOME}/scratch/XC/programs
git clone https://github.com/anshumitts/CafeXC.git
conda env create -f CafeXC/CafeXC.yml
conda activate xc

pip install hnswlib Cython git+https://github.com/kunaldahiya/pyxclib.git

git clone https://github.com/Extreme-classification/MUFIN.git

RUNNING MUFIN

cd ${HOME}/scratch/XC/programs/MUFIN
chmod +x run_MUFIN.sh
./run_MUFIN.sh <ALL_GPU_IDS> <TYPE> <DATASET> <FOLDER_NAME> <IMG_ENCODER> <TXT_ENCODER> <KEEP_TOP_K> <RESTRICTMEM>
# TYPE          :   MufinMultiModal PreTrainedMufinMultiModal
# DATASET       :   MM-AmazonTitles-300K
# FOLDER_NAME   :   USER's choice
# IMG_ENCODER   :   ViT resnet18 vgg11 resnet50FPN
# TXT_ENCODER   :   sentencebert BoW Seq VisualBert 
# KEEP_TOP_K    :   USE ONLY K images [-1, inf]; -1 will use all images
# RESTRICTMEM   :   0 will load all data in RAM while 1 will load from disk.
e.g.
./run_MUFIN.sh 0,1 PreTrainedMufinMultiModal MM-AmazonTitles-300K MUFIN_pretrained ViT sentencebert -1 0
./run_MUFIN.sh 0,1 MufinMultiModal MM-AmazonTitles-300K MUFIN ViT sentencebert -1 0