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Author
Xavier Soria
;
Edgar Riba
;
Angel D. Sappa
Title
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
Type
Conference Article
Year
2020
Publication
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
Abbreviated Journal
Volume
Issue
9093290
Pages
1912-1921
Keywords
Abstract
This paper proposes a Deep Learning based edge de- tector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed ap- proach generates thin edge-maps that are plausible for hu- man eyes; it can be used in any edge detection task without previous training or fine tuning process. As a second contri- bution, a large dataset with carefully annotated edges, has been generated. This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons. Quantitative and qualitative evaluations have been performed on different benchmarks showing im- provements with the proposed method when F-measure of ODS and OIS are considered.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
978-172816553-0
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
126
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
;
Riad Hammoud
Title
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.
Type
Journal Article
Year
2018
Publication
Abbreviated Journal
Volume
Vol. 18
Issue
Issue 7
Pages
Keywords
Abstract
Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
96
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
;
Arash Akbarinia
Title
Multispectral Single-Sensor RGB-NIR Imaging: New Challenges an Oppotunities
Type
Conference Article
Year
2017
Publication
The 7th International Conference on Image Processing Theory, Tools and Application
Abbreviated Journal
Volume
Issue
Pages
1-6
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
72
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
Title
Improving Edge Detection in RGB Images by Adding NIR Channel.
Type
Conference Article
Year
2018
Publication
14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018)
Abbreviated Journal
Volume
Issue
Pages
266-273
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
95
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