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ImageNet ILSVRC 2012 validation dataset
The ImageNet ILSVRC 2012 validation dataset is used to evaluate the proposed approach. -
O.C.E.A.N. model of personality dataset
The dataset used in this paper is a collection of digital footprints of Internet users, including Facebook likes, and their corresponding psycho-demographic profiles. -
Synthetic Iris Presentation Attack using iDCGAN
Iris images generated using the proposed iDCGAN framework are evaluated with respect to their similarity with real iris images as well as their ability to attack the iris... -
Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
CrypTFlow2
CrypTFlow2: Practical 2-Party Secure Inference -
Deep Spectrum Sensing with Transfer Learning Dataset
The dataset used for testing the deep spectrum sensing framework with different signal types. -
Deep Spectrum Sensing Dataset
The dataset used for training and testing the deep spectrum sensing framework. -
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using D...
Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. -
GSE: Group-wise Sparse and Explainable Adversarial Attacks
Sparse adversarial attacks fool deep neural networks (DNNs) through minimal pixel perturbations, often regularized by the ℓ0 norm. Recent efforts have replaced this norm with a... -
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN
Iris images generated using deep convolutional generative adversarial networks -
Machine Learning and Deep Learning Methods for Cybersecurity
Machine learning and deep learning methods for cybersecurity -
High Throughput Training of Deep Surrogates from Large Ensemble Runs
The dataset used in this paper is a large ensemble run of simulations for training deep surrogates. -
An evidential deep-learning classifier based on Dempster-Shafer theory and dee...
The proposed classifier consists of several stages for feature representation, a DS layer to construct mass functions, and an expected utility layer to make set-valued... -
Bag-of-visual-words and spatial extensions for land-use classification
Bag-of-visual-words and spatial extensions for land-use classification -
Deep semantic understanding of high resolution remote sensing image
Deep semantic understanding of high resolution remote sensing image -
Exploring models and data for remote sensing image caption generation
Exploring models and data for remote sensing image caption generation -
Remote Sensing Image Captioning
Remote Sensing Image Captioning Dataset (RSICD) and UCM-captions dataset for remote sensing image captioning -
Imagenette
The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data. -
Fetal brain MRI analysis
Fetal brain MRI dataset for automatic linear measurements of the fetal brain -
Deep Automatic Portrait Matting
The dataset used for training and testing the proposed LSSC system, which consists of 1530 training images and 170 test images in RGB format.
