Official implementation of Few-Shot and Continual Learning with Attentive Independent Mechanisms

Last update: Dec 8, 2022

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Overview

Few-Shot and Continual Learning with Attentive Independent Mechanisms

This repository is the official implementation of Few-Shot and Continual Learning with Attentive Independent Mechanisms that has been accepted to International Conference of Computer Vision (ICCV) 2021.

Few-shot learning

Fewshot/: Implementation of AIM for few-shot learning.

Continual learning

Continual/: Implementation of AIM for continual learning.

Contributing

If you find this work useful, consider citing our work using the following bibTex:

@article{lee2021few,
  title={Few-Shot and Continual Learning with Attentive Independent Mechanisms},
  author={Lee, Eugene and Huang, Cheng-Han and Lee, Chen-Yi},
  journal={arXiv preprint arXiv:2107.14053},
  year={2021}
}

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Comments

Continual learning Train/test split in miniImageNet

Thank you for your contribution!

In the Continual/datasets/miniimagenet.py line 66 why is traintest.csv being used instead of train.csv ? also how do you get traintest.csv ?

opened by sudarshan1994 0

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Chikan_Huang

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