Remote sensing through semantic segmentation of satellite images contrib...
Deep active learning (DAL) seeks to reduce annotation costs by enabling ...
Solving complex classification tasks using deep neural networks typicall...
Retraining deep neural networks when new data arrives is typically
compu...
In the field of deep learning based computer vision, the development of ...
Pool-based active learning (AL) aims to optimize the annotation process
...
Deep neural networks often suffer from overconfidence which can be partl...
Gathering labeled data to train well-performing machine learning models ...
Classification algorithms aim to predict an unknown label (e.g., a quali...