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Learning a Geometric Representation for Data-Efficient Depth Estimation
  via Gradient Field and Contrastive Loss
v1v2 (latest)

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss

6 November 2020
D. Shim
H. J. Kim
    SSLMDE
ArXiv (abs)PDFHTML

Papers citing "Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss"

1 / 1 papers shown
Geometric Constraints in Deep Learning Frameworks: A Survey
Geometric Constraints in Deep Learning Frameworks: A SurveyACM Computing Surveys (ACM CSUR), 2024
Vibhas Kumar Vats
David J. Crandall
3DV
360
3
0
19 Mar 2024
1
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