Complementary features based prototype self-updating for few-shot learning

Author:

Xu XinleiORCID,Wang ZheORCID,Chi ZiqiuORCID,Yang HaiORCID,Du WenliORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Infinite mixture prototypes for few-shot learning;Allen,2019

2. DeepCorrect: Correcting DNN Models Against Image Distortions;Borkar;IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society,2019

3. Chen, Y., Liu, Z., Xu, H., Darrell, T., & Wang, X. (2021). Meta-baseline: exploring simple meta-learning for few-shot learning. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 9062–9071).

4. A new meta-baseline for few-shot learning;Chen,2020

5. SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification;Cheng;IEEE Transactions on Geoscience and Remote Sensing,2022

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