What makes the unsupervised monocular depth estimation (UMDE) model training better
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
What makes the unsupervised monocular depth estimation (UMDE) model training better ; volume:12 ; number:1 ; day:20 ; month:12 ; year:2022 ; pages:1-15 ; date:12.2022
Scientific reports ; 12, Heft 1 (20.12.2022), 1-15, 12.2022
- Urheber
-
Wang, Xiangtong
Liang, Binbin
Yang, Menglong
Li, Wei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-26613-0
- URN
-
urn:nbn:de:101:1-2023030221194222039357
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Wang, Xiangtong
- Liang, Binbin
- Yang, Menglong
- Li, Wei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Monocular depth sensing using metalens
EVALUATING MONOCULAR DEPTH ESTIMATION METHODS
MONOCULAR DEPTH PREDICTION IN PHOTOGRAMMETRIC APPLICATIONS
MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING
Monocular meta-imaging camera sees depth
MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS
MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES
High quality monocular depth estimation with parallel decoder
Learning-based dense monocular depth estimation for cystoscopic videos
Lightweight monocular depth estimation using a fusion-improved transformer
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
END-TO-END DEPTH FROM MOTION WITH STABILIZED MONOCULAR VIDEOS
Monocular depth sensing using metalens
EVALUATING MONOCULAR DEPTH ESTIMATION METHODS
MONOCULAR DEPTH PREDICTION IN PHOTOGRAMMETRIC APPLICATIONS
MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING
Monocular meta-imaging camera sees depth
MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS
MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES
High quality monocular depth estimation with parallel decoder
Learning-based dense monocular depth estimation for cystoscopic videos
Lightweight monocular depth estimation using a fusion-improved transformer
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
END-TO-END DEPTH FROM MOTION WITH STABILIZED MONOCULAR VIDEOS
Monocular depth sensing using metalens
EVALUATING MONOCULAR DEPTH ESTIMATION METHODS
MONOCULAR DEPTH PREDICTION IN PHOTOGRAMMETRIC APPLICATIONS
MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING
Monocular meta-imaging camera sees depth
MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS
MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES
High quality monocular depth estimation with parallel decoder
Learning-based dense monocular depth estimation for cystoscopic videos
Lightweight monocular depth estimation using a fusion-improved transformer
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation