Disentangling-before-Composing

This repository provides dataset splits and code for Paper:

Disentangling before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning

Usage

1. Clone the repo.

2. We recommend using Anaconda for environment setup. To create the environment and activate it, please run:

    conda env create --file environment.yml
    conda activate czsl

3. The dataset and splits can be downloaded from: CZSL-dataset.

4. To run DBC for UT-Zappos dataset:

    Training:
    python train.py --config config/zappos.yml

    Testing:
    python test.py --logpath LOG_DIR

Note: Most of the code is an improvement based on https://github.com/ExplainableML/czsl.