Few-shot Feature Generation
Meta-learning method: [1]
Delta-based: delta between each pair of samples [2]; delta between each sample and class center [3] [4]
Reference
[1] Zhang, Ruixiang, et al. “Metagan: An adversarial approach to few-shot learning.” NIPS, 2018.
[2] Schwartz, Eli, et al. “Delta-encoder: an effective sample synthesis method for few-shot object recognition.” Advances in Neural Information Processing Systems. 2018.
[3] Liu, Jialun, et al. “Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective.” arXiv preprint arXiv:2002.10826 (2020).
[4] Yin, Xi, et al. “Feature transfer learning for face recognition with under-represented data.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.