Robot target recognition using deep federated learning-Reference-Cited by-同舟云学术

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Robot target recognition using deep federated learning

Published:2021-08-12 Issue:12 Volume:36 Page:7754-7769
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Xue Bin¹²^ORCID,He Yi¹^ORCID,Jing Feng¹^ORCID,Ren Yimeng³^ORCID,Jiao Lingling¹,Huang Yang⁴

Affiliation:

1. National University of Defense Technology School of Information and Communication Xi'an China

2. Xi'an Jiaotong University, School of Computer Science and Technology Xi'an China

3. Renmin University of China, School of Statistics Beijing China

4. National University of Defense Technology, School of Electronic Science Xi'an China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22606

Reference47 articles.

1. Martin‐MartinR PatelM RezatofighiH et al. JRDB: a dataset and benchmark of egocentric robot visual perception of humans in built environments.IEEE Trans Pattern Anal Mach Intell Early Access; 2021:1‐17.

2. Impedance Variation and Learning Strategies in Human-Robot Interaction

3. DIOD: Fast and Efficient Weakly Semi-Supervised Deep Complex ISAR Object Detection

4. Real‐world ISAR object recognition using deep multimodal relation learning;Bin X;IEEE Trans Cybern,2020

5. Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep Learning

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