Text Semantic Prior Contrastive Learning for Few-Shot Remote Sensing Object Detection
Deep-learning-based detectors for remote sensing object detection have achieved remarkable success, but their performance heavily depends on large-scale annotated datasets, which are costly and time-consuming. Few-shot remote sensing object detection has, therefore, emerged as a promising paradigm to recognize novel ca...