15 datasets found

Deepfakes are synthetically generated images, videos or audios, which fraudsters use to manipulate legitimate information. The proposed technique outperforms state-of-the-art...

A Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke.

A method for depth estimation from light field data, based on a fully convolutional neural network architecture.

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

DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations.

ECG classification system for arrhythmia detection using Convolutional Neural Network

A dataset of segmented time-series ECG signals for obstructive sleep apnea detection using a one-dimensional convolutional neural network.

Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification

The HMDB51 dataset is a video dataset for human action recognition. It contains 6,767 videos annotated with 51 categories of human actions.

A dataset for computer-aided diagnosis of pulmonary embolism using computed tomography pulmonary angiography images.

The dataset is used for classification of histopathology images of lung cancer using Convolutional Neural Network (CNN).

Vehicle color recognition method using convolutional neural network

The dataset used in this paper is a collection of EEG signals recorded from 6 healthy males using dry electrodes. The dataset is used for training and testing a convolutional...

Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors.

The proposed method uses a video segmentation approach to extract trajectories and then uses a convolutional neural network to learn a compact representation of the dense...