A Few-shot-learning-based Method to Object Recognition in Multiple Scenarios-Reference-Cited by-同舟云学术

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A Few-shot-learning-based Method to Object Recognition in Multiple Scenarios

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)
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Author:

He Shichang¹,Liu Xuan¹,Zhang Shigeng²,Luo Juan¹

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University,P. R. China

2. School of Computer Science and Engineering, Central South University,P. R. China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10188660/10188690/10188702.pdf?arnumber=10188702

Reference37 articles.

1. Domain-adaptive few-shot learning;zhao;CoRR vol abs/2003 08626,2020

2. Meta-learning probabilistic inference for prediction;gordon;ICLR 2019,2019

3. Label efficient learning of transferable representations acrosss domains and tasks;luo;NIPS 2017,2017

4. Learning to Compare: Relation Network for Few-Shot Learning

5. Universal domain adaptation through self supervision;saito;NeurIPS 2020,2020

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