31 datasets found

The dataset used in this paper is MNIST, CIFAR10, and ImageNet.

The HEE model uses CIFAR10 to demonstrate its ability to generate high-quality images.

Lifelong-CIFAR10 and Lifelong-ImageNet are ever-expanding pools of test samples designed to enhance the robustness of current benchmarks by mitigating the issue of overfitting...

The MNIST, FMNIST, and CIFAR10 datasets are used to evaluate the proposed methods of spiking-MaxPooling.

The dataset used in the paper is a MNIST dataset, a CIFAR10 dataset, and a CelebA dataset.

The dataset used in the paper is the CIFAR10 and SVHN datasets, which are used to evaluate the performance of the robust models.

The dataset used in the paper is a counterfactual examples (CEs) dataset, which is generated using a diffusion model. The dataset consists of images from the CIFAR10 and SVHN...

Higgins et al. (2016) use a number of standard image datasets to evaluate both image generation properties of β-VAEs and specially designed datasets for evaluating...

The MNIST and CIFAR10 datasets are used for image classification, while the UDIS-D dataset is used for image reconstruction.

The authors used the CIFAR10 and CelebA datasets for image modeling.

The dataset used in this paper is CIFAR10, CIFAR100, Vireo172, and NUS-WIDE.

MNIST, CIFAR10, and FEMNIST datasets are used to evaluate the effect of accuracy in various datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used four widely used datasets: CIFAR10, CIFAR100, SVHN, and ImageNet.

The dataset used in the paper is a modified version of CIFAR10 and CIFAR100 datasets, subsampled to create irregularly scattered nodes for each image.

The proposed method uses the MNIST and CIFAR10 datasets for fully-connected DNNs.

The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

The dataset used in the paper to evaluate the alignment of deep neural networks with human perception.

The dataset used in this paper is MNIST, USPS, and CIFAR10. The dataset is used for privacy-preserving CNN training.

CIFAR10, CIFAR100, and SVHN datasets

The dataset used in the paper is the CIFAR10 and CelebA datasets.