Awesome

A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning

A Pytorch implementation

Overview

This library contains a Pytorch implementation of 'A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning' [1] (#citation)(https://arxiv.org/abs/2008.04872). This work is built on top of S-VAE, as presented in [2](http://arxiv.org/abs/1804.00891).

Dependencies

• python>=3.6
• pytorch>=0.4.1: https://pytorch.org
• scipy: https://scipy.org
• numpy: https://www.numpy.org

Installation

1. Add this project to your python path.

2. To install, run

$ python setup.py install

3. Training, run

$ cd src
$ python train.py ../config/awa1.yaml

4. Testing, run

$ python test.py ../config/awa1.yaml

Usage

Please cite [1] in your work when using this library in your experiments.

Citation

[1] Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng. A Boundary Based Out-Of-Distribution
Classifier for Generalized Zero-Shot Learning[C]//Proceedings of the European Conference on
Computer Vision (ECCV) 2020.