A multitask latent feature augmentation method for few-shot learning
J Xu, B Liu, Y Xiao - IEEE Transactions on neural networks and …, 2022 - ieeexplore.ieee.org
Few-shot learning (FSL) aims to learn novel concepts quickly from a few novel labeled
samples with the transferable knowledge learned from base dataset. The existing FSL …
samples with the transferable knowledge learned from base dataset. The existing FSL …
Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning
K Zheng, L Cheng, J Shen - 2022 International Joint …, 2022 - ieeexplore.ieee.org
Leveraging patch-level embedding in few-shot learning is widely studied by recent works.
However, a fundamental challenge is that labels are actually assigned at image level …
However, a fundamental challenge is that labels are actually assigned at image level …