Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2005.13605
Cited By
D2D: Keypoint Extraction with Describe to Detect Approach
27 May 2020
Yurun Tian
Vassileios Balntas
Tony Ng
Axel Barroso Laguna
Y. Demiris
K. Mikolajczyk
Re-assign community
ArXiv
PDF
HTML
Papers citing
"D2D: Keypoint Extraction with Describe to Detect Approach"
10 / 10 papers shown
Title
Keypoint Detection and Description for Raw Bayer Images
Jiakai Lin
Jinchang Zhang
Guoyu Lu
3DV
57
0
0
11 Mar 2025
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
Xingyi He He
Hao Yu
Sida Peng
Dongli Tan
Zehong Shen
Hujun Bao
Xiaowei Zhou
48
4
0
13 Jan 2025
BALF: Simple and Efficient Blur Aware Local Feature Detector
Zhenjun Zhao
Yuwei Zhai
Ben Chen
Peidong Liu
24
4
0
27 Nov 2022
Matching Map Recovery with an Unknown Number of Outliers
A. Minasyan
T. Galstyan
Sona Hunanyan
A. Dalalyan
35
2
0
24 Oct 2022
SuperPoint features in endoscopy
O. L. Barbed
F. Chadebecq
Javier Morlana
José M. M. Montiel
Ana C. Murillo
22
8
0
08 Mar 2022
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
Xiaoming Zhao
Xingming Wu
Jinyu Miao
Weihai Chen
Peter C. Y. Chen
Zhengguo Li
3DH
13
112
0
06 Dec 2021
HarrisZ
+
^+
+
: Harris Corner Selection for Next-Gen Image Matching Pipelines
F. Bellavia
Dmytro Mishkin
3DV
28
21
0
27 Sep 2021
SIFT Matching by Context Exposed
F. Bellavia
26
34
0
17 Jun 2021
Optimal detection of the feature matching map in presence of noise and outliers
T. Galstyan
A. Minasyan
A. Dalalyan
51
9
0
13 Jun 2021
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
Udit Singh Parihar
Aniket Gujarathi
K. Mehta
Satyajit Tourani
Sourav Garg
Michael Milford
K. M. Krishna
24
29
0
15 Mar 2021
1