564 datasets found

The datasets used in the paper are described as follows: WikiMIA, BookMIA, Temporal Wiki, Temporal arXiv, ArXiv-1 month, Multi-Webdata, LAION-MI, Gutenberg.

The DeepLesion dataset is a large-scale dataset containing measurements and 2D bounding-boxes of over 32K lesions from a variety of body parts on computed tomography (CT) images.

The dataset used in this paper is a collection of 3D shapes represented as Neural Fields (NFs). The NFs are learned from various 3D discrete representations of ShapeNet [42]...

The dataset used in this study is a 24-hour ambient population grid derived from LandScan USA Population Database 2019.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on various vision tasks, including image classification,...

The dataset used for training and validation of the proposed next-best-view regression method.

The dataset used in this paper is a Flickr image dataset, which is used to evaluate the proposed deep aesthetic feature learning framework.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

The dataset used in this paper is the WRN28x10 dataset, a deep neural network trained on the CIFAR-10 and CIFAR-100 datasets.

The dataset used in this paper is the VGG16 dataset, a deep neural network trained on the CIFAR-10 and CIFAR-100 datasets.

The dataset used in this paper is the ResNet50 dataset, a deep neural network trained on the ImageNet dataset.

The dataset used in the paper is a population of trained NN models, from the model zoo dataset (Sch¨urholt et al., 2022c).

The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.

A dataset for exploring the limits of large-scale pre-training.

A smoothly broken power law functional form that accurately models and extrapolates the scaling behaviors of deep neural networks for various architectures and tasks.

A large-scale generated video benchmark dataset for network training and evaluation, comprising synthetic videos from 11 different generator models.

MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical...

The dataset used in the paper is VGGFace2, which is a dataset for face recognition tasks.

A regression problem where the true coefficient function β is sparse and smooth, in order to show how the adaptive centering is able to jointly shrink towards a mixed target.

Single Image Super-Resolution (SR) aims to generate a High Resolution (HR) image I SR from a low resolution (LR) im-age I LR such that it is similar to original HR image I HR....