Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges remain in ...

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 ...