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Multi-Label Continual Learning for Medical Imaging: A Novel Benchmark
A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario. -
CRIL Dataset
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. -
Continual World
The Continual World benchmark consists of ten realistic robotic manipulation tasks. -
Light Federated and Continual Consensus (LFedCon2)
A federated and continual learning framework for classification tasks in a society of devices -
Split MS-COCO
The dataset used in the paper is the Split MS-COCO dataset, which is a comprehensive framework for continual image captioning. -
ActivityNet
Temporal activity detection has drawn increasing interests in both academic and industry communities due to its vast potential applications in security surveillance, behavior...