102 datasets found

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

The S-curve dataset is a 1D curve embedded in 3D space.

The dataset used in the paper is a collection of UCI regression tasks and a network pretrained for face age estimation.

A reinterpretation of the U-Net architecture as a modularized structure was proposed as a solution to scale up the segmentation of such images.

Rayleigh wave dispersion curves have been widely used in near-surface studies, and are primarily inverted for the shear wave (S-wave) velocity profiles. However, the inverse...

The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and find that a model having higher AUC does not necessarily...

Lightweight vision transformer for US segmentation.

3D face recognition has shown its potential in many application scenarios. Among numerous 3D face recognition methods, deep-learning-based methods have developed vigorously in...

The dataset used in the paper is a language domain dataset, specifically for sentiment classification, named AG News. The dataset is used to evaluate the performance of...

Ear recognition using CNNs.

Ear biometric identification using preprocessing and deep-learning techniques.

The dataset used in this paper is a serial Turbo Autoencoder (TurboAE) with Gaussian priors (TGP) for component training.

Human pose estimation dataset

A dataset of 70 tampered and 30 authentic CT scans for evaluation of CT-GAN attack

The dataset used for training and testing the WENO-DS method, which is a deep learning-based extension of the WENO scheme for solving two-dimensional hyperbolic conservation laws.

The dataset used in this paper is a collection of real patients' EEG signals, which were collected in the Hospital and used for training and testing the proposed framework.

The CNN-based transfer learning–Bilstm network dataset is a dataset of COVID-19 images for image classification.

The COVID-ResNet dataset is a dataset of COVID-19 images for image classification.

The COVID-19 features on CXR dataset is a dataset of COVID-19 images for image classification.

The COVID-Net dataset is a dataset of COVID-19 images for image classification.