10 datasets found

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.

Image feature point matching is a key step in Structure from Motion(SFM). However, it is becoming more and more time consuming because the number of images is getting larger and...

The dataset used in the paper is the PatchMatch dataset.

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...

Re-identification (Re-ID) problems aim to determine corresponding targets across multiple cameras or different locations in the same camera from the gallery set with a given probe.

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