24,167 datasets found

The dataset used in the paper is the Imagenet dataset, which is a large annotated dataset of images used for image classification tasks.

The Chinese Poetry dataset is a dataset of Chinese poems used for language modeling.

Word2Vec is a distributed word embedding generator that uses an artificial neural network to learn dense vector representations of words.

Speaker verification (SV) is a task aiming at identifying the true characteristics of a speaker and accepting or discarding the identity claimed by the speaker.

Voice conversion (VC) can be achieved by first extracting source content information and target speaker information, and then reconstructing waveform with these information.

The paper presents the PeerRead dataset for testing the sparse deep generative model.

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

The dataset used in the paper for 3D scene generation from text descriptions.

Two publicly available datasets with histological sections and an ex vivo 3D MRI of the same subject. A 3D similarity transform between the stack of histological sections and...

Neural Radiance Fields (NeRF) have shown remarkable suc-cess in representing 3D scenes and generating novel views. However, they often struggle with aliasing artifacts,...

A digital elevation model (DEM) of the Shuttle Radar Topography Mission (SRTMv4.1).

The dataset is used for multivariate time series anomaly detection in IoT. It contains multivariate time series data from various IoT sensors.

A dataset for landsurface forecasting task on the African continent, containing Sentinel-2 satellite imagery, weather variables, and topography.

Developing Human Connectome Project (DHCP) dataset

The dataset consists of synthetic-generated (SG) sketches of 3D trees, associated with Weber-Penn parameters generated by a dedicated Blender modelling software add-on.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The ASPIRE Registry dataset contains data from patients who underwent MRI and RHC within 48 hours.

A multimodal variational autoencoder for low-cost cardiac hemodynamics instability detection from CXR and ECG.

The LESS dataset contains soil spectral reflectance data.