20 datasets found

The dataset is a photogrammetric digital surface model of the city of Zurich in Switzerland.

Establishing both accurate and robust correspondences across images is an underpinning step to many computer vision algorithms.

Establishing both accurate and robust correspondences across images is an underpinning step to many computer vision algorithms.

The Image Matching Challenge dataset is a benchmark dataset for image matching and feature extraction.

The TSS dataset is a benchmark dataset for object recognition. It consists of 400 image pairs from 3 object categories.

The dataset used in the paper for image matching, consisting of 7 datasets with varied image domains, including scene-level, object-centric and aerial images.

Boreas: A multi-season autonomous driving dataset.

ORB: An efficient alternative to SIFT or SURF.

For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer...

The GL3D dataset is a large-scale dataset for 3D reconstruction from images. It contains 181,280 high-resolution images in 1073 different scenes, along with the image matches,...

The dataset used in the paper is the PatchMatch dataset.

The dataset used for training the D2-Net model, consisting of 327,036 image pairs with at least 50% overlap in the sparse SfM point cloud.

The HPatches dataset is a benchmark dataset for local feature matching. It contains 108 sequences of 6 images each, with 52 sequences having illumination changes and 56...

The dataset used in the paper for UAV-view geo-localization, which aims to match images of the same target from different platforms.

The dataset used in the paper for UAV-view geo-localization, which aims to match images of the same target from different platforms.

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

A new large scale cross-view dataset consisting of pairs of street view and bird’s eye view images collected from three different cities in the United States.

The HPatches dataset evaluates the mAP in three different tasks: patch verification, image matching and patch retrieval.

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

A framework for matching dresses from real-life photos using GAN and Siamese Network