Jan. 21, 2022, 2:10 a.m. | Gongyang Li, Zhi Liu, Zhen Bai, Weisi Lin, and Haibin Ling

cs.CV updates on arXiv.org arxiv.org

Salient object detection in optical remote sensing images (ORSI-SOD) has been
widely explored for understanding ORSIs. However, previous methods focus mainly
on improving the detection accuracy while neglecting the cost in memory and
computation, which may hinder their real-world applications. In this paper, we
propose a novel lightweight ORSI-SOD solution, named CorrNet, to address these
issues. In CorrNet, we first lighten the backbone (VGG-16) and build a
lightweight subnet for feature extraction. Then, following the coarse-to-fine
strategy, we generate an …

arxiv correlation cv detection images remote sensing

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