Prototypes-oriented Transductive Few-shot Learning with Conditional Transport-Reference-Cited by-同舟云学术

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport

Published:2023-10-01 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Tian Long¹,Feng Jingyi¹,Chai Xiaoqiang¹,Chen Wenchao²,Wang Liming¹,Liu Xiyang¹,Chen Bo²

Affiliation:

1. Xidian University,National Pilot School of Software Engineering,Xi’an,China,710071

2. Xidian University,National Key Laboratory of Radar Signal Processing,Xi’an,China,710071

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference40 articles.

1. Meta-learning with differentiable closed-form solvers;Bertinetto,2018

2. Information maximization for few-shot learning;Boudiaf;Advances in Neural Information Processing Systems,2020

4. A closer look at few-shot classification;Chen,2019

5. Sinkhorn distances: Lightspeed computation of optimal transport;Cuturi;Advances in neural information processing systems,2013

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2. Single-Step Support Set Mining for Realistic Few-Shot Image Classification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Efficient Few-Shot Classification Using Self-Supervised Learning and Class Factor Analysis;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19