9 papers
Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection
Yanyan Peng, Tingfa Xu, Yao Xiao +4
Hyperspectral salient object detection aims to identify visually salient regions from hyperspectral images. Existing methods often fail because they fundamentally misunderstand the…
Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
Peifu Liu, Tingfa Xu, Jie Wang +3
Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction:…
HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection
Shuyan Bai, Tingfa Xu, Peifu Liu +5
RGB-based camouflaged object detection struggles in real-world scenarios where color and texture cues are ambiguous. While hyperspectral image offers a powerful alternative by capt…
MODA: The First Challenging Benchmark for Multispectral Object Detection in Aerial Images
Shuaihao Han, Tingfa Xu, Peifu Liu +1
Aerial object detection faces significant challenges in real-world scenarios, such as small objects and extensive background interference, which limit the performance of RGB-based…
MCOD: The First Challenging Benchmark for Multispectral Camouflaged Object Detection
Yang Li, Tingfa Xu, Shuyan Bai +2
Camouflaged Object Detection (COD) aims to identify objects that blend seamlessly into natural scenes. Although RGB-based methods have advanced, their performance remains limited u…
Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline
Peifu Liu, Huiyan Bai, Tingfa Xu +3
The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the backgrou…