13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images
Peifu Liu, Tingfa Xu, Guokai Shi +3
Hyperspectral salient object detection (HSOD) aims to extract targets or regions with significantly different spectra from hyperspectral images. While existing deep learning-based…
cs.CV2024★ 13 cited
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
Huiyan Bai, Tingfa Xu, Huan Chen +2
Extracting discriminative information from complex spectral details in hyperspectral image (HSI) for HSI classification is pivotal. While current prevailing methods rely on spectra…
cs.CV2024
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
Haolin Qin, Tingfa Xu, Peifu Liu +2
Hyperspectral salient object detection (HSOD) has exhibited remarkable promise across various applications, particularly in intricate scenarios where conventional RGB-based approac…