Image Matching on IMC PhotoTourism

Metric: mean average accuracy @ 10 (higher is better)

LeaderboardDataset

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#	Model↕	mean average accuracy @ 10▼	Extra Data	Paper	Date↕	Code
1	Harris Corner	0.65606	Yes	HarrisZ$^+$: Harris Corner Selection for Next-Ge...	2021-09-27	-
2	DISK	0.65435	Yes	DISK: Learning local features with policy gradient	2020-06-24	Code
3	SuperGlue	0.65248	Yes	SuperGlue: Learning Feature Matching with Graph ...	2019-11-26	Code
4	DoG-AffNet-HardNet8	0.64212	Yes	Repeatability Is Not Enough: Learning Affine Reg...	2017-11-17	Code
5	Key.Net-SOSNet	0.60285	Yes	Key.Net: Keypoint Detection by Handcrafted and L...	2019-04-01	Code
6	RootSIFT	0.59859	Yes	-	-	Code
7	R2D2	0.56345	Yes	-	-	Code
8	D2-Net (MS)	0.36285	No	D2-Net: A Trainable CNN for Joint Detection and ...	2019-05-09	Code

#1Harris CornerSOTA
0.65606
mean average accuracy @ 10· Extra Data· 2021-09-27
HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines
#2DISKSOTA
0.65435
mean average accuracy @ 10· Extra Data· 2020-06-24
DISK: Learning local features with policy gradient Code
#3SuperGlueSOTA
0.65248
mean average accuracy @ 10· Extra Data· 2019-11-26
SuperGlue: Learning Feature Matching with Graph Neural Networks Code
#4DoG-AffNet-HardNet8SOTA
0.64212
mean average accuracy @ 10· Extra Data· 2017-11-17
Repeatability Is Not Enough: Learning Affine Regions via Discriminability Code
#5Key.Net-SOSNet
0.60285
mean average accuracy @ 10· Extra Data· 2019-04-01
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters Code
#6RootSIFT
0.59859
mean average accuracy @ 10· Extra Data
No paperCode
#7R2D2
0.56345
mean average accuracy @ 10· Extra Data
No paperCode
#8D2-Net (MS)
0.36285
mean average accuracy @ 10· 2019-05-09
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features Code