24,175 datasets found

Pneumothorax can be a deadly disease and there is a need to correctly identify it in time. With the advancement in deep learning technology, and its ability to make...

The Business District dataset is a dataset of 3D point clouds of business districts.

The Residential Area dataset is a dataset of 3D point clouds of residential areas.

The University Sector dataset is a dataset of 3D point clouds of university buildings.

The dataset is used to study the neuronal dynamics underlying electroencephalograms (EEG) and to recover arrhythmic EEG transients from their stochastic interference.

VOCASET: A 3D vertex-based dataset for speech-driven 3D facial animation.

BEAT: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis.

Speech-driven 3D facial animation has been an attractive task in both academia and industry. Traditional methods mostly focus on learning a deterministic mapping from speech to...

Monocular 3D object localization in driving scenes is a crucial task, but challenging due to its ill-posed nature. Estimating 3D coordinates for each pixel on the object surface...

The Nico challenge is a benchmark for out-of-distribution generalization for image recognition challenges.

The Spawrious dataset is a synthetic image classification dataset containing images of four dog breeds (classes) in six background locations (spurious attributes).

The dataset used in the paper is the ImageNet 2012 Large-Scale Visual Recognition Challenge dataset.

A dataset for skin disease recognition based on self-learning and wide data collection through a closed loop framework.

The dataset used in the paper for testing the HeadSculpt model, which consists of 3D head avatars generated from textual prompts.

The dataset used in the paper for training and testing the HeadSculpt model, which consists of 3D head avatars generated from textual prompts.

The dataset used in this paper for healthcare data democratization and information leakage prevention.

Continuous-time models such as Neural ODEs and Neural Flows have shown promising results in analyzing irregu-

The SODA-D and SODA-A datasets are large-scale benchmarks tailored for small object detection.

The ASSIST dataset is an open dataset collected by the ASSISTments online tutoring systems.

The Math dataset is collected from the widely-used online learning system Zhixue1, which contains mathematical exercises and logs of high school examinations.