Abstract: Hyperspectral object detection (HOD), as an emerging research field, has attracted growing attention due to its advantage for detecting objects in challenging scenes with weak objects.
This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection. First, the ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
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