3 papers
cs.CV2026
Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection
Peng Zhang, Tingfa Xu, Shuaihao Han +1
Existing multispectral detectors are limited by discrete spectral processing, a scale-dependent shift in the relative reliability of spectral and spatial cues across pyramid levels…
cs.CV2025
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…
cs.CV2025
MSITrack: A Challenging Benchmark for Multispectral Single Object Tracking
Tao Feng, Tingfa Xu, Haolin Qin +5
Visual object tracking in real-world scenarios presents numerous challenges including occlusion, interference from similar objects and complex backgrounds-all of which limit the ef…