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)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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

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