716 datasets found

The y-CMNIST dataset adds a dependency between environment e and label y.

The d-CMNIST dataset adds a dependency between environment e and digit d.

The dataset used in the paper is CIFAR-100N, which is a noisy version of CIFAR-100.

The Triplet network model learns useful representations by distance comparisons.

The dataset used in the paper is the Dense Layer Analysis (DLA) dataset.

Improving image classification with location context.

The YFCC100M-GEO100 dataset contains 100,000 images with 100,000 geotags.

Benchmarking representation learning for natural world image collections.

PASCAL 2007 dataset

ILSVRC-2012-LOC dataset

The Pentomino dataset is a benchmark for black-box, deep learning techniques, consisting of images of pentominoes.

The All-Pairs dataset is a new benchmark for weakly supervised learning, consisting of images of pairs of symbols from an alphabet of K choices.

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

The Color MNIST dataset is used for visual concepts from the Color MNIST dataset of Seo et al. (2017).

The dataset used in the paper is not explicitly mentioned, but it is implied to be the MobileNetv1 dataset.

The dataset used in the paper is MNIST, CIFAR10, GTSRB, and ImageNet32.

The dataset used in the paper is the Caltech 101 Dataset and the ILSVRC 2012 Dataset.

The MNIST, SVHN, and CelebA datasets are used for conditional density estimation tasks.

Two public leaf datasets are used in this experiment. The training and testing sets are split with a ratio of 1:1 for model evaluation. The CottonCultivar dataset contains 80...

The authors used the CIFAR-10 and Fashion-MNIST datasets for semi-supervised federated learning-based UAV image recognition tasks.