SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation-Reference-Cited by-同舟云学术

SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation

Published:2023 Issue: Volume:16 Page:2192-2204
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Hou Jianlong¹^ORCID,Guo Zhi¹^ORCID,Feng Yingchao¹^ORCID,Wu Youming¹^ORCID,Diao Wenhui¹^ORCID

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference87 articles.

1. iSAID: A large-scale dataset for instance segmentation in aerial images;waqas zamir;Proc IEEE/CVF Conf Comput Vis Pattern Recognit Workshops,0

3. Rethinking atrous convolution for semantic image segmentation;chen;CoRR,2017

4. Multi-scale context aggregation by dilated convolutions;yu;Proc 4th Int Conf Learn Representations,0

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2. High-Spatial-Resolution Remote Sensing Scene Method Based on Spatial Adaptive Convolution;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20