Paper Info
Title
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences
Abstract
We address the problem of finding reliable dense correspondences between a pair of images. This is a challenging task due to strong appearance differences between the corresponding scene elements and ambiguities generated by repetitive patterns. The contributions of this work are threefold. First, inspired by the classic idea of disambiguating feature matches using semi-local constraints, we devel...
Year
DOI
Venue
2022
10.1109/TPAMI.2020.3016711
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
Feature extraction,Pattern matching,Task analysis,Convolutional neural networks,Electronic mail,Reliability,Benchmark testing
Journal
44
Issue
ISSN
Citations 
2
0162-8828
2
PageRank 
References 
Authors
0.38
15
6
Name
Order
Citations
PageRank
Ignacio Rocco1562.51
Mircea Cimpoi229221.54
Relja Arandjelovic3109641.22
Akihiko Torii443626.93
Tomas Pajdla53510242.90
Josef Sivic69653513.44