Frequency Mining and Complementary Fusion Network for RGB-Infrared Object Detection-Reference-Cited by-同舟云学术

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Frequency Mining and Complementary Fusion Network for RGB-Infrared Object Detection

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Liu Yangfeixiao¹^ORCID,Jiang Wanshou²^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10644032.pdf?arnumber=10644032

Reference15 articles.

1. Multispectral Deep Neural Networks for Pedestrian Detection

2. Cross-modality interactive attention network for multispectral pedestrian detection

3. Adaptive spatial pixel-level feature fusion network for multispectral pedestrian detection

4. Weakly Aligned Feature Fusion for Multimodal Object Detection

5. Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection

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