Continual Learning - Groups

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.

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Permuted MNIST

The Permuted MNIST dataset is a variation of MNIST where new tasks of comparable difficulty to the original MNIST classification task are created by permuting the pixels of...

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Rotated MNIST

The Rotated MNIST dataset is a subset of the MNIST dataset with images of handwritten digits rotated by 90 degrees.

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CORe50

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

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4 datasets found

Multi-Label Continual Learning for Medical Imaging: A Novel Benchmark

Permuted MNIST

Rotated MNIST

CORe50