34 datasets found

Deluge Networks are deep neural networks which efficiently facilitate massive cross-layer information inflows from preceding layers to succeeding layers.

The dataset used in the paper is CIFAR-10 and CIFAR-100, ImageNet, and their out-of-distribution variants.

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 dataset is a large dataset of handwritten digits, and the ImageNet dataset is a large dataset of images.

The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

ImageNet trained PyTorch models are evaluated under various simple image transformations.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used VGG-16, ResNet-50, and MobileNet-v2 models on the ImageNet and CIFAR-10...

The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...

The dataset used in this paper is CIFAR-10 and ImageNet datasets.

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.

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 the CIFAR-100 and ImageNet datasets.

The dataset used in the paper Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. The dataset consists of 30 unique 3D object models...

This paper uses the ImageNet and COCO2017 validation datasets for testing.

This dataset is used to evaluate the performance of a Convolutional Neural Network (CNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2012).

This dataset is used to evaluate the performance of a Convolutional Neural Network (CNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2012).

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

Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations. Recently, Transformers – originally introduced in...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, Places205, and VOC07 datasets for evaluation.

The dataset used in the paper is CIFAR-10, Tiny ImageNet, and ImageNet.