525 datasets found

The dataset used in the paper is MNIST, CIFAR-10, CIFAR-100, Tiny-ImageNet, and VGG-like.

The dataset used in this paper is the Imagenette and Imagewoof datasets.

The dataset used in the paper is ResNet-20, ResNet-32, ResNet-56, and ResNet-110 for image classification.

The dataset used in the paper is CIFAR-10 and CIFAR-100 for image classification, and CelebA for image-to-image translation.

The WideResNet-28-10 and WideResNet-34-2 datasets are used to evaluate the performance of the proposed two-level group convolution.

The dataset used in the paper is the ResNet-50 dataset, a convolutional neural network model.

The dataset used in the paper is the VGG-11 dataset, a convolutional neural network model.

The Traffic Signs dataset contains 39252 training images in 43 classes.

The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images.

The dataset used in the paper is the CIFAR-10 and SVHN datasets. CIFAR-10 is a dataset of 32x32 color images in 10 classes, while SVHN is a dataset of 32x32 color images of...

The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.

The COIL-DEL dataset contains 3900 graphs which are converted from images by the Harris corner detection algorithm and Delaunay triangulation.

The ISIC-2016 dataset is a public challenge dataset dedicated to Skin Lesion Analysis for Melanoma Detection.

The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.

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

The Caltech-UCSD-Birds-200-2011 dataset contains images of 200 bird species.

CIFAR10, CIFAR100, and SVHN datasets

The dataset used in the paper is also used for training and evaluation of the proposed method.

The dataset used in the paper is also used for training and evaluation of the proposed method.

Three famous HSI data sets are used to demonstrate the reliability of the proposed method, which are University of Pavia (PU), Salinas (SA), and Indian Pines (IP).