8 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.

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...

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