Dynamic Few-Shot Visual Learning Without Forgetting

@article{Gidaris2018DynamicFV,
  title={Dynamic Few-Shot Visual Learning Without Forgetting},
  author={Spyros Gidaris and Nikos Komodakis},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={4367-4375}
}
The human visual system has the remarkably ability to be able to effortlessly learn novel concepts from only a few examples. [...] Key Method The latter, apart from unifying the recognition of both novel and base categories, it also leads to feature representations that generalize better on "unseen" categories. We extensively evaluate our approach on Mini-ImageNet where we manage to improve the prior state-of-the-art on few-shot recognition (i.e., we achieve 56.20% and 73.00% on the 1-shot and 5-shot settings…Expand
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