The TerraIncognita dataset consists of 24,778 samples from four domains: painting, sketch, cartoon, and photo.

CIFAR-10-C and CIFAR-100-C are robustness benchmarks consisting of 19 corruptions types with five levels of severities.

Unsupervised domain generalization (UDG) aims to learn generalizable models with unlabeled data and analyze the effects of pre-training on DG.

The Digits-DG dataset contains 4 datasets: MNIST, MNIST-M, SVHN, and SYN.

The OfficeHome dataset contains 15,500 images of 65 classes from four domains: Art, Clipart, Product, and Real-World.

The dataset used for domain generalization, including PACS, OfficeHome, and Digits-DG datasets.

The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal...

The dataset used in the paper is a collection of images for domain generalization tasks, including CIFAR-10-C, CIFAR-100-C, and Digit-DG.

The Prostate dataset is a diverse collection of T2-weighted MRI prostate images and corresponding masks, spanning six distinct domains.

The dataset used in the paper is a remote sensing image classification dataset, which includes five optical remote sensing (RS) image classification benchmarks.

The dataset used in the paper is a cross-domain dataset, consisting of six domains: Real, Painting, Sketch, Clipart, Infograph, and Quickdraw. Each domain contains 345 object...