Few Shot Object Counting And Detection

Few-shot Object Counting and Detection is a crucial task in the field of computer vision, aiming to detect and count objects of the same category in a single image using at most three sample instances. This task is particularly important when large-scale datasets are unavailable, requiring methods to output a single set of bounding boxes, with the number of detected bounding boxes determining the final object count. The application value of this technology lies in its ability to achieve efficient and accurate object detection and counting under limited data conditions, making it suitable for various practical scenarios.