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ILCOC: An Incremental Learning Framework based on Contrastive One-class Classifiers

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ILCOC: An Incremental Learning Framework based on Contrastive One-class Classififiers

Paper

Official repository of ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers

@InProceedings{Sun_2021_CVPR,
    author    = {Sun, Wenju and Zhang, Jing and Wang, Danyu and Geng, Yangli-ao and Li, Qingyong},
    title     = {ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month     = {June},
    year      = {2021},
    pages     = {3580-3588}
}

Setup

  • Use ./utils/main.py to run experiments.

Datasets

Class-Il / Task-IL settings

  • Sequential MNIST
  • Sequential CIFAR-10
  • Sequential Tiny ImageNet

Related repository

https://github.com/aimagelab/mammoth

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