2024
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
NeurIPS 2024poster
The ability to detect aerial objects with limited annotation is pivotal to the development of real-world aerial intelligence systems. In this work, we focus on a demanding but practical sparsely annotated object detection (SAOD) in aerial images, which encompasses a wider variety of aerial scenes wi…