Prototype-Conditioned Generative Adversarial Network for Few-Shot Remote Sensing Object Detection
Few-shot object detection (FSOD) in remote sensing imagery faces critical challenges stemming from extreme data scarcity, specifically inadequate feature coverage, severe class imbalance, and pervasive incomplete annotations. To address these interconnected issues, this article proposes a unified FSOD framework based o...