6 datasets found

Few-shot keyword spotting with prototypical networks.

A new approach to meta-learning, called meta-meta classification, to learning in small-data settings.

The FewSol dataset is used for training the class-adaptive object detector. It contains 666 objects with a large number of occurrences.

The CIFAR-FS dataset is a few-shot learning dataset, consisting of 60,000 color images from 100 classes with 600 examples per class.

The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.

The Human Connectome Project (HCP) dataset contains volumetric task fMRI activation maps from the Human Connectome Project 1200 dataset (HCP1200) distribution, for the 965...