Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2112.06910
Cited By

DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor
Points

v1v2 (latest)

DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points

13 December 2021

Yajie Zhao

ArXiv (abs)PDF HTML Github

Papers citing "DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points"

5 / 5 papers shown

LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds

LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds

Hitoshi Niigaki

244

0

0

31 Mar 2025

Local Feature Matching Using Deep Learning: A Survey

Local Feature Matching Using Deep Learning: A Survey

485

93

0

31 Jan 2024

OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature
Matching

OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature MatchingPattern Recognition (Pattern Recogn.), 2023

285

19

0

12 Feb 2023

DeepMatcher: A Deep Transformer-based Network for Robust and Accurate
Local Feature Matching

DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature MatchingExpert systems with applications (ESWA), 2023

320

65

0

08 Jan 2023

DKM: Dense Kernelized Feature Matching for Geometry Estimation

DKM: Dense Kernelized Feature Matching for Geometry EstimationComputer Vision and Pattern Recognition (CVPR), 2022

Ioannis Athanasiadis

Mårten Wadenbäck

Michael Felsberg

527

228

0

01 Feb 2022

Page 1 of 1