Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
DFM : Effect of Parameter Optimization on Classical and Learning-Based Image Matching Methods
Date
2021-06-25
Author
EFE, UFUK
İNCE, KUTALMIŞ GÖKALP
Alatan, Abdullah Aydın
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
85
views
0
downloads
Cite This
URI
https://image-matching-workshop.github.io/
https://hdl.handle.net/11511/100974
Conference Name
IEEE CVPR Workshop : Image Matching Workshop
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
DFM: A Performance Baseline for Deep Feature Matching
Efe, Ufuk; Ince, Kutalmis Gokalp; Alatan, Abdullah Aydın (2021-01-01)
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method uses pre-trained VGG architecture as a feature extractor and does not require any additional training specific to improve matching. Inspired by well-established concepts in the psychology area, such as the Mental Rotation paradigm, an initial warping is performed as a result of a preliminary geometric transformation estimate. These ...
DFT STUDIES ON f-CNT AND COMPARISON WİTH EXPERIMENTAL RESULTS
Gökağaç Arslan, Gülsün(2017-12-31)
DFT STUDIES ON f-CNT AND COMPARISON WİTH EXPERIMENTAL RESULTS
DFT Studies on eta(6)-Coronene-Cr(CO)(3) Complexes
Türker, Burhan Lemi; Guemues, Selcuk (2009-01-01)
Two types of Cr(CO)(3) complexes of coronene have been considered theoretically at the level of DFT (B3LYP/6-31G(d)), in order to investigate some molecular orbital, electronic and thermodynamic properties. The effect of complexation on the stability and aromaticity of coronene has been investigated by NICS calculations. According to the results, both in the gas phase and in aqueous solution, B-type complex has been found to be more stable than the A-type, however, the energy difference is such that B to A ...
DFT study of Rb/Si(100)-2 x 1 system
Mete, E; Shaltaf, R; Ellialtıoğlu, Süleyman Şinasi (Elsevier BV, 2005-06-01)
We have investigated Rb adsorption on the Si(100) surface for 0.5 and 1 monolayer coverages using the total energy method with norm-conserving pseudopotentials. For 2 x 1 reconstruction at 1 ML coverage symmetrized dimers are found to be energetically more favorable. On the other hand, half a ML coverage is found to have symmetrical dimers only for the most stable adsorption model. All possible surface-adatom configurations have been considered in the calculations to find which adsorption sites are energeti...
CdZnTe Bulk Crystal Growth and Temperature Modeling Studies at METU-CGL
Balbaşı, Özden Başar; DOĞRU, ÇİĞDEM; Kabukcuoglu, Merve; Ünal, Mustafa; Parlak, Mehmet; Turan, Raşit (2018-08-21)
Cadmium Zinc Telluride (Cd1-xZnxTe) has become a crucial material for X-ray and gamma ray detection due to its wide band-gap, high atomic number and high density, which offer high efficiency and sharp spectroscopic resolution at room temperature. In addition, due to being lattice matched, it can also be used as substrate for the epitaxial growth of HgCdTe that can be used for infrared detection with high resolution. Hence, increasing the single crystal yield of CdZnTe from the grown ingot gained importance ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
U. EFE, K. G. İNCE, and A. A. Alatan, “DFM : Effect of Parameter Optimization on Classical and Learning-Based Image Matching Methods,” presented at the IEEE CVPR Workshop : Image Matching Workshop, VIRTUAL, BİLİNMEYEN ÜLKELER (DİĞER), 2021, Accessed: 00, 2022. [Online]. Available: https://image-matching-workshop.github.io/.