ViTFSL-Baseline: A Simple Baseline of Vision Transformer Network for Few-Shot Image Classification-Reference-Cited by-同舟云学术

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ViTFSL-Baseline: A Simple Baseline of Vision Transformer Network for Few-Shot Image Classification

Published:2024 Issue: Volume:12 Page:11836-11849
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Guangpeng¹^ORCID,Wang Yongxiong¹^ORCID,Pan Zhiqun¹^ORCID,Wang Xiaoming¹^ORCID,Zhang Jiapeng¹^ORCID,Pan Jiayun¹^ORCID

Affiliation:

1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10409287.pdf?arnumber=10409287

Reference47 articles.

1. Model-agnostic meta-learning for fast adaptation of deep networks;Finn

2. Meta-learning for semi-supervised few-shot classification;Ren;arXiv:1803.00676,2018

3. Meta-Learning to Detect Rare Objects

4. A study on representation transfer for few-shot learning;Yu;arXiv:2209.02073,2022

5. A simple approach to adversarial robustness in few-shot image classification;Subramanya;arXiv:2204.05432,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shot-ViT: Cricket Batting Shots Classification with Vision Transformer Network;International Journal of Engineering;2024

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