Asking students to identify an example of what something is—and importantly, what it isn’t—helps establish clarity and leaves ...

Abstract: Conventional training of deep neural networks requires a large number of the annotated image which is a laborious and time-consuming task, particularly for rare objects. Few-shot object ...

Abstract: Open-world object detection (OWOD) is a challenging problem that combines object detection with incremental learning and open-set learning. Compared to standard object detection, the OWOD ...