564 datasets found

The DeepViT dataset is a dataset for vision.

The dataset used for training and testing the proposed method.

The DenseNet dataset is a dataset for image recognition on handwritten digits composed of 60,000 training data and 10,000 test images.

The dataset used in this paper is the ResNet-50 dataset.

The COVOC dataset is used to evaluate the performance of the Lung Swapping Autoencoder (LSAE) model on COVID-19 outcome prediction. The dataset consists of 340 CXRs from 327...

A deep Convolutional Neural Network for topology optimization with strong generalization ability

Deep Matrix Approximately Nonlinear Decomposition (DEMAND) employs Adam and an alternative optimization strategy that is well suited to optimize convex/alternative convex...

The dataset used for training the custom object detector is a collection of images of drones.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ResNet-14, ResNet-20, ResNet-56, and ResNet-110 networks, as well as...

A dataset of optical coherence tomography scans showing four different retinal conditions.

Mpox Skin Lesion Dataset Version 2.0 (MSLD v2.0) is a publicly available dataset containing web-scraped images of patients with mpox and non-mpox cases, including chickenpox,...

Deep Learning is a very powerful machine learning model. Deep Learning trains a large number of parameters for multiple layers and is very slow when data is in large scale and...

The dataset used in the paper to test the proposed Decomposable Winograd Method (DWM) for convolution acceleration.

The dataset used in the paper is ISLVRC2012, a dataset for image classification.

Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity...

The dataset used for training and validation of the EigenRank algorithm for data subset selection and failure prediction in deep learning based medical image segmentation.

The COVID-19 Identification ResNet (CIdeR) dataset consists of 517 crowdsourced coughing and breathing audio recordings from 355 participants, of which 62 participants had tested...

Fast MRI aims to reconstruct a high fidelity image from partially observed measurements. Exuberant development in fast MRI using deep learning has been witnessed recently....

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?

The Holidays dataset is used for testing the performance of the HAE on visual feature translation.