Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
Abstract: Underwater microscopes have been extensively developed to acquire in situ images for marine plankton observation. However, existing software relies on traditional thresholding methods to ...