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Multi-Task Learning on Cityscapes
The authors used the Cityscapes dataset for their experiments. -
DEEP METRIC LEARNING USING TRIPLET NETWORK
The Triplet network model learns useful representations by distance comparisons. -
MedMNIST classification decathlon
Medical image analysis -
Dense Layer Analysis
The dataset used in the paper is the Dense Layer Analysis (DLA) dataset. -
PASCAL 2007
PASCAL 2007 dataset -
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. -
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. -
Describable Textures Dataset (DTD)
The dataset used in the paper is Describable Textures Dataset (DTD), which is a texture classification dataset. -
MNIST and MIMIC-CXR-JPG datasets
The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images. -
CIFAR-10 and Caltech-256
The dataset used in the paper is CIFAR-10 and Caltech-256. -
CIFAR10 and ResNet32
The dataset used in the paper is CIFAR10 and ResNet32.
