Java Essentials Volume 2 provides structured pathway from Java fundamentals to advanced application development ...

We address the task of open-world class-agnostic object detection, i.e., detecting every object in an image by learning from a limited number of base object classes. State-of-the-art RGB-based models ...

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 ...

These benefits lead to more flexible, maintainable, and efficient code structures. Unfortunately, Java does not natively support class extensions (categories) and there is a little chance such support ...

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...