Multispectral-oriented object detection faces challenges due to both intermodal and intramodal discrepancies. Recent studies often rely on transformer-based models to address these issues and achieve ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

Nowadays, high-resolution remote sensing images provide rich data sources and deep learning models show powerful feature representation capability for remote sensing object detection. However, due to ...