Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution

Andreas Aakerberg; Anders S. Johansen; Kamal Nasrollahi; Thomas B. Moeslund

doi:10.1007/978-3-030-89131-2_37

Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution

Andreas Aakerberg^*, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Original language	English
Title of host publication	Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings
Editors	Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Andreas Lanitis, Constantinos Pattichis, Constantinos Pattichis, Mario Vento
Number of pages	9
Volume	13053
Publisher	Springer Science+Business Media
Publication date	2021
Pages	403-411
ISBN (Print)	9783030891305
DOIs	https://doi.org/10.1007/978-3-030-89131-2_37
Publication status	Published - 2021
Event	19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021 - Virtual, Online Duration: 28 Sep 2021 → 30 Sep 2021

Conference

Conference	19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021
City	Virtual, Online
Period	28/09/2021 → 30/09/2021

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13053 LNCS
ISSN	0302-9743

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Multi-task learning
Semantic segmentation
Super-resolution

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10.1007/978-3-030-89131-2_37

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Aakerberg, A., Johansen, A. S., Nasrollahi, K., & Moeslund, T. B. (2021). Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. In N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, A. Lanitis, C. Pattichis, C. Pattichis, & M. Vento (Eds.), Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings (Vol. 13053, pp. 403-411). Springer Science+Business Media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13053 LNCS https://doi.org/10.1007/978-3-030-89131-2_37

Aakerberg, Andreas ; Johansen, Anders S. ; Nasrollahi, Kamal ; Moeslund, Thomas B. / Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. editor / Nicolas Tsapatsoulis ; Andreas Panayides ; Theo Theocharides ; Andreas Lanitis ; Andreas Lanitis ; Constantinos Pattichis ; Constantinos Pattichis ; Mario Vento. Vol. 13053 Springer Science+Business Media, 2021. pp. 403-411 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13053 LNCS).

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title = "Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution",

keywords = "Multi-task learning, Semantic segmentation, Super-resolution",

author = "Andreas Aakerberg and Johansen, {Anders S.} and Kamal Nasrollahi and Moeslund, {Thomas B.}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021 ; Conference date: 28-09-2021 Through 30-09-2021",

year = "2021",

doi = "10.1007/978-3-030-89131-2_37",

language = "English",

isbn = "9783030891305",

volume = "13053",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science+Business Media",

pages = "403--411",

editor = "Nicolas Tsapatsoulis and Andreas Panayides and Theo Theocharides and Andreas Lanitis and Andreas Lanitis and Constantinos Pattichis and Constantinos Pattichis and Mario Vento",

booktitle = "Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings",

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}

Aakerberg, A , Johansen, AS , Nasrollahi, K & Moeslund, TB 2021, Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. in N Tsapatsoulis, A Panayides, T Theocharides, A Lanitis, A Lanitis, C Pattichis, C Pattichis & M Vento (eds), Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. vol. 13053, Springer Science+Business Media, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13053 LNCS, pp. 403-411, 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021, Virtual, Online, 28/09/2021. https://doi.org/10.1007/978-3-030-89131-2_37

Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. / Aakerberg, Andreas ; Johansen, Anders S.; Nasrollahi, Kamal ; Moeslund, Thomas B.

Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. ed. / Nicolas Tsapatsoulis; Andreas Panayides; Theo Theocharides; Andreas Lanitis; Andreas Lanitis; Constantinos Pattichis; Constantinos Pattichis; Mario Vento. Vol. 13053 Springer Science+Business Media, 2021. p. 403-411 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13053 LNCS).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution

AU - Aakerberg, Andreas

AU - Johansen, Anders S.

AU - Nasrollahi, Kamal

AU - Moeslund, Thomas B.

PY - 2021

Y1 - 2021

KW - Multi-task learning

KW - Semantic segmentation

KW - Super-resolution

UR - http://www.scopus.com/inward/record.url?scp=85119478818&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-89131-2_37

DO - 10.1007/978-3-030-89131-2_37

M3 - Article in proceeding

AN - SCOPUS:85119478818

SN - 9783030891305

VL - 13053

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 403

EP - 411

BT - Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings

A2 - Tsapatsoulis, Nicolas

A2 - Panayides, Andreas

A2 - Theocharides, Theo

A2 - Lanitis, Andreas

A2 - Pattichis, Constantinos

A2 - Vento, Mario

PB - Springer Science+Business Media

T2 - 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021

Y2 - 28 September 2021 through 30 September 2021

ER -

Aakerberg A , Johansen AS , Nasrollahi K , Moeslund TB. Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution. In Tsapatsoulis N, Panayides A, Theocharides T, Lanitis A, Lanitis A, Pattichis C, Pattichis C, Vento M, editors, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. Vol. 13053. Springer Science+Business Media. 2021. p. 403-411. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13053 LNCS). https://doi.org/10.1007/978-3-030-89131-2_37

Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution

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