Deep-Learning based Global and Semantic Feature Fusion for Indoor Scene Classification-Reference-Cited by-同舟云学术

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Deep-Learning based Global and Semantic Feature Fusion for Indoor Scene Classification

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
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Author:

Pereira Ricardo,Goncalves Nuno,Garrote Luis,Barros Tiago,Lopes Ana,Nunes Urbano J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9093690/9096066/09096068.pdf?arnumber=9096068

Cited by 13 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. Deep Learning-Based Vision Systems for Robot Semantic Navigation: An Experimental Study;Technologies;2024-09-10

2. A fusiform network of indoor scene classification with the stylized semantic description for service-robot applications;Expert Systems with Applications;2024-07

3. Indoor hierarchy relation graph construction method based on RGB‐D;The Photogrammetric Record;2024-05-25

4. Indoor Scene Classification through Dual-Stream Deep Learning: A Framework for Improved Scene Understanding in Robotics;Computers;2024-05-14

5. A single-stream adaptive scene layout modeling method for scene recognition;Neural Computing and Applications;2024-04-27

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