8 datasets found

MiniImageNet, TieredImageNet, and CUB are used for few-shot learning tasks.

miniImageNet, tieredImageNet, Caltech-USCD birds-200-2011

Birds dataset consists of 28752 images of birds, each described by a Fisher vector representation.

The proposed MG-ViT model is used for few-shot learning on the Agri-ImageNet and ACFR apple detection tasks.

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 ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenges, which contains 12 categories shared by three domains: Caltech-256 (C), ImageNet...

MiniImageNet, Caltech-UCSD Birds 200-2011, TieredImageNet, OfficeHome

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