11 datasets found

The dataset used for fast image reconstruction with an event camera.

The Places dataset is a large-scale dataset for scene recognition, containing 1 million images from 365 categories.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal...

The SHREC 2021 dataset contains 10 synthetic volumes with different distribution of proteins within "cells", named model 0 to model 9.

Photoacoustic tomography (PAT) is a rapidly-evolving med-ical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is...

N-Caltech101 is a widely used event-based object recognition dataset.

N-ImageNet is a large-scale dataset containing 1,781,167 event stream data of 1,000 object classes.

Recognizing objects from sparse and noisy events becomes extremely difficult when paired images and category labels do not exist. This paper proposes a joint formulation of...

Implicit neural representation, which expresses an image as a continuous function rather than a discrete grid form, is widely used for image processing. The dataset used in this...

The CMRxRecon cardiac cine dataset comprises 473 scans of 4D multi-coil (nc = 10) fully-sampled k-space acquisitions, split into training (203 scans), validation (111 scans),...

The fastMRI prostate dataset comprises fully-sampled data acquired from three averages with GRAPPA factor of 2, from 312 subjects, partitioned into training (218 volumes, 6602...