Hybrid Feature Aligned Network for Salient Object Detection in Optical Remote Sensing Imagery-Reference-Cited by-同舟云学术

Hybrid Feature Aligned Network for Salient Object Detection in Optical Remote Sensing Imagery

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Qi¹^ORCID,Liu Yanfeng²^ORCID,Xiong Zhitong³,Yuan Yuan¹

Affiliation:

1. School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

2. School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

3. Data Science in Earth Observation (SiPEO, former: Signal Processing in Earth Observation), Technical University of Munich (TUM), Munich, Germany

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09791375.pdf?arnumber=9791375

Reference69 articles.

1. Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection

2. Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation

3. Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images

4. A parallel down-up fusion network for salient object detection in optical remote sensing images

5. Pyramidal feature shrinking for salient object detection;ma;Proc AAAI Conf Artif Intell (AAAI),2021

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