992 datasets found

The dataset used in the paper is a benchmark dataset for vision recognition, consisting of 10 datasets: Tiny ImageNet, Caltech-256, Flowers-102, Food-101, CIFAR-100, CIFAR-10,...

Two publicly available datasets for training and testing: Scene Flow datasets and KITTI2015 dataset

Data pruning aims to obtain lossless performances with less overall cost. A common approach is to filter out samples that make less contribution to the training.

CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.

The Waymo Open Motion Dataset is a large-scale dataset for autonomous driving, containing 104,000 20-second frames of driving scenarios marked at 10 Hz.

80 CT-scans and related label data found in various public sources were considered for training and testing of U-Net architectures.

Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine “next-scale prediction” or...

The dataset FAUST contains 10 different bodies in 10 different poses. The irregular surface meshes have 6890 vertices. The dataset is used to evaluate the reconstruction quality...

The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.

A point cloud rendering method that achieves comparable rendering performance to NeRF.

NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...

The dataset used in the paper is a cross-domain dataset, consisting of six domains: Real, Painting, Sketch, Clipart, Infograph, and Quickdraw. Each domain contains 345 object...

The SCUT-HEAD dataset is a head detection dataset containing images with varying scales and poses.

The Visual Wake Words dataset is a binary classification dataset for detecting the presence of a person in an image.

The ImageNet-10 dataset is a subset of the ImageNet-1K dataset, containing images from 10 classes.

The WIDER FACE dataset is a face detection dataset containing images with varying scales, poses, and occlusions.

A vision-based target pose estimation method using multiple markers for high-precision nano drone perching at both wide and close ranges.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

dsprites: Disentanglement testing sprites dataset

Feature matching is a fundamental problem for many computer vision tasks, such as object recognition, structure from motion, and simultaneous localization and mapping.