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CIFAR-100N
The dataset used in the paper is CIFAR-100N, which is a noisy version of CIFAR-100. -
DEEP METRIC LEARNING USING TRIPLET NETWORK
The Triplet network model learns useful representations by distance comparisons. -
Dense Layer Analysis
The dataset used in the paper is the Dense Layer Analysis (DLA) dataset. -
Improving image classification with location context
Improving image classification with location context. -
YFCC100M-GEO100
The YFCC100M-GEO100 dataset contains 100,000 images with 100,000 geotags. -
Benchmarking representation learning for natural world image collections
Benchmarking representation learning for natural world image collections. -
PASCAL 2007
PASCAL 2007 dataset -
ILSVRC-2012-LOC
ILSVRC-2012-LOC dataset -
Animals with Attributes (AwA)
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... -
Color MNIST
The Color MNIST dataset is used for visual concepts from the Color MNIST dataset of Seo et al. (2017). -
MobileNetv1
The dataset used in the paper is not explicitly mentioned, but it is implied to be the MobileNetv1 dataset. -
MNIST, CIFAR10, GTSRB, and ImageNet32
The dataset used in the paper is MNIST, CIFAR10, GTSRB, and ImageNet32. -
Caltech 101 Dataset and ILSVRC 2012 Dataset
The dataset used in the paper is the Caltech 101 Dataset and the ILSVRC 2012 Dataset. -
MNIST, SVHN, and CelebA
The MNIST, SVHN, and CelebA datasets are used for conditional density estimation tasks. -
CottonCultivar and SoyCultivarLocal datasets
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... -
CIFAR-10 and Fashion-MNIST datasets
The authors used the CIFAR-10 and Fashion-MNIST datasets for semi-supervised federated learning-based UAV image recognition tasks.
