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Malware dataset
The dataset consists of 20 malware families. Three of these malware families, namely, Winwebsec, Zeroaccess, and Zbot, are from the Malicia dataset, while the remaining 17... -
CIFAR-10-S
CIFAR-10-S is a dataset that combines error-minimizing and One-Pixel Shortcut (OPS) to craft stronger imperceptible unlearnable examples. -
One-Pixel Shortcut
One-Pixel Shortcut (OPS) is a data protection method that perturbs only one pixel in each image. -
Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Bea...
The dataset used in the paper is a THz beamspace MIMO system, where the authors propose a novel deep learning technique framework to address the analog beam selection problem. -
Mediclaim Fraud Detection Dataset
The dataset used for this study is a public dataset added with some private data, used for health insurance claim fraud detection. -
Deep-CAPTCHA
A deep learning based CAPTCHA solver for vulnerability assessment -
UCR Archive
The UCR archive is a collection of univariate time series datasets where classification is of importance. -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,... -
ImageNet and CIFAR-10 datasets
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used VGG-16, ResNet-50, and MobileNet-v2 models on the ImageNet and CIFAR-10... -
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
The paper proposes a Bagging Deep Learning Training Framework (BEND) based on efficient neural network diffusion. -
Han et al. dataset
An efficient and robust iris segmentation algorithm using deep learning. -
Li et al. dataset
A deep-learning-based iris segmentation technique using a quicker R-CNN supplemented with six layers. -
BraTS 2020 Validation
The BraTS 2020 validation dataset contains the same type of MR images from 125 patients, without the ground truth annotations. -
ImageNet-Subset
ImageNet-Subset is a subset of the ImageNet dataset, containing 100 classes with 500 training images, 50 validation images, and 50 test images per class. -
CTC Detection Dataset
The dataset is composed of 46 high variance data points, with 10 Negative and 36 Positive data points. -
OpenEarthMap Xia et al.
Land cover classification is a key application for remote sensing and Earth observation (EO) data, as it provides essential information for various domains, such as urban... -
Deep learning for 3D building reconstruction: A review
Deep learning for 3D building reconstruction: A review -
Traffic Flow Estimation Recovery using Limited Data
The dataset used in the paper for traffic flow estimation recovery using limited data.