/Maintaining-Discrimination-and-Fairness-in-Class-Incremental-Learning

unoffical code for paper Maintaining Discrimination and Fairness in Class Incremental Learning(CVPR 2019)

Primary LanguagePythonMIT LicenseMIT

Maintaining-Discrimination-and-Fairness-in-Class-Incremental-Learning

Unoffical code for paper Maintaining Discrimination and Fairness in Class Incremental Learning(CVPR 2019).

This code is my reproduction of this paper.Thanks to the code base FACIL.

I am just a green hand in incremental learning.This code is probably wrong. If you are checking my code, please forgive me for wasting your time and point out my mistakes.

Dataset

  • Cifar-100

！！！ you need to change _BASE_DATA_PATH (Variables under folder: datasets/dataset_config.py) to your dataset path.

Environment

  • Python 3.7.10
  • torch 1.11.0
  • torchvision 0.4.2
  • CUDA 11.6

Training

python main.py

My Best result

experience 0 1 2 3 4 5 6 7 8 9 avg acc
acc 0.828 0.8165 0.777 0.7135 0.6754 0.6266 0.6021 0.5706 0.5372 0.5218 0.66687

Thanks

Code base:FACIL.

I just simplified the framework and implemented the code on this basis.