April 2, 2024, 7:47 p.m. | Haolin Qin, Tingfa Xu, Peifu Liu, Jingxuan Xu, Jianan Li

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00694v1 Announce Type: new
Abstract: Hyperspectral salient object detection (HSOD) has exhibited remarkable promise across various applications, particularly in intricate scenarios where conventional RGB-based approaches fall short. Despite the considerable progress in HSOD method advancements, two critical challenges require immediate attention. Firstly, existing hyperspectral data dimension reduction techniques incur a loss of spectral information, which adversely affects detection accuracy. Secondly, previous methods insufficiently harness the inherent distinctive attributes of hyperspectral images (HSIs) during the feature extraction process. To address these …

arxiv cs.cv detection mixed network object spatial type

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