6 datasets found

A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario.

The dataset used in the Continual Robot Imitation Learning (CRIL) paper, which consists of pseudo demonstrations of learned tasks and real demonstrations of new tasks.

The Continual World benchmark consists of ten realistic robotic manipulation tasks.

A federated and continual learning framework for classification tasks in a society of devices

The dataset used in the paper is the Split MS-COCO dataset, which is a comprehensive framework for continual image captioning.

CORe50 is a video benchmark for continual learning, consisting of 164,866 128x128 images of 50 domestic objects belonging to 10 categories.