Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...

Abstract: Rapid and accurate extraction of individual tree crown information is the basis for fine investigation and scientific management of forest resources. However, in subtropical broad-leaved ...