625 datasets found

The dataset consists of six formal target languages defined for training and testing purposes. Each language is a subset of the alphabet {a, b, c, d}.

Membership-Invariant Subspace Training (MIST) is a method for training classifiers that acts as a defense designed to specifically defend against black-box membership inference...

MoSeg is a dataset for object segmentation in videos.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors examined state-of-the-art attacks of various kinds.

An automated quality assessment of hand washing using deep learning.

The dataset used in this paper for image super-resolution task.

The dataset used in the paper is a hedging portfolio problem, where the goal is to replicate a target portfolio using a neural network.

Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras.

Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras.

Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras.

The dataset used for face recognition tasks.

The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.

The MSR dataset is a widely used vulnerability detection dataset, consisting of 10,900 vulnerable examples and 177,736 non-vulnerable examples.

The dataset used in the paper is a 24K images dataset and the VIVOS Corpus audio dataset.

MRI images of knee joint for cartilage defect diagnosis

The dataset used for lung cancer diagnostic task

The dataset used in the paper is MNIST, CIFAR10, GTSRB, and ImageNet32.

Esophageal varices (EV) dataset for non-contrast CT scans

The MIMIC and CheXpert datasets are used to analyze and remove protected feature effects in chest radiograph embeddings of deep learning models.

Fashion-MNIST, KMNIST, CIFAR10, CIFAR100, MNIST, STL10, SVHN