The package comes as a CMake project and additional wrappers for Python and Matlab. Please see more detailed Installation information. One can also use some of the ...

Learn how to create burndown charts to track project progress, improve team performance, and download free templates to get ...

Abstract: Supervised deep learning methods have produced state-of-the-art results with large labeled datasets. However, accessing large labeled datasets is difficult in medical image analysis because ...

A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...

Abstract: In this paper, we present a simple yet effective continual learning method for blind image quality assessment (BIQA) with improved quality prediction accuracy, plasticity-stability trade-off ...