Bidirectional Matching Prototypical Network for Few-Shot Image Classification-Reference-Cited by-同舟云学术

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Bidirectional Matching Prototypical Network for Few-Shot Image Classification

Published:2022 Issue: Volume:29 Page:982-986
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Fu Wen¹^ORCID,Zhou Li¹,Chen Jie¹^ORCID

Affiliation:

1. Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09718178.pdf?arnumber=9718178

Reference32 articles.

1. Visualizing data using T-SNE;maaten;J Mach Learn Res,2008

2. Meta-learning with differentiable closed-form solvers;bertinetto;ArXiv,2019

3. Automatic differentiation in pytorch;paszke,2017

4. Matching networks for one shot learning;vinyals;Proc Adv Neural Inform Process Syst,0

5. Prototypical networks for few-shot learning;snell;Proc Adv Neural Inform Process Syst,0

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1. Dense Metric with Meta-Classifier for Few-Shot Image Classification;2024 16th International Conference on Advanced Computational Intelligence (ICACI);2024-05-16

2. BiLSTM-TANet: an adaptive diverse scenes model with context embeddings for few-shot learning;Applied Intelligence;2024-03

3. Optimization model based on attention mechanism for few-shot image classification;Machine Vision and Applications;2024-01-19

4. Reinforced Self-Supervised Training for Few-Shot Learning;IEEE Signal Processing Letters;2024

5. Cross Modulation and Region Contrast Learning Network for Few-Shot Medical Image Segmentation;IEEE Signal Processing Letters;2024

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