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On Regression Losses for Depth Estimation

Abstract: 

Depth estimation from a single monocular image has reached great performances thanks to recent works based on deep networks. However, as various choices of losses, architectures and experimental conditions are proposed in the literature, it is difficult to establish their respective influence on the performances. In this paper we propose an in-depth study of various losses and experimental conditions for depth regression, on \nyu dataset. From this study we propose a new network for depth estimation combining an encoder-decoder architecture with an adversarial loss. This network reaches top scores in the competitive evaluation of NUYv2 dataset while being simpler to train in a single phase.

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Paper Details

Authors:
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
Submitted On:
9 October 2018 - 7:18am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Marcela Carvalho
Paper Code:
1083
Document Year:
2018
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Document Files

icip2018_id1083.pdf

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[1] Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat, "On Regression Losses for Depth Estimation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3656. Accessed: Dec. 12, 2018.
@article{3656-18,
url = {http://sigport.org/3656},
author = {Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat },
publisher = {IEEE SigPort},
title = {On Regression Losses for Depth Estimation},
year = {2018} }
TY - EJOUR
T1 - On Regression Losses for Depth Estimation
AU - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3656
ER -
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat. (2018). On Regression Losses for Depth Estimation. IEEE SigPort. http://sigport.org/3656
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat, 2018. On Regression Losses for Depth Estimation. Available at: http://sigport.org/3656.
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat. (2018). "On Regression Losses for Depth Estimation." Web.
1. Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat. On Regression Losses for Depth Estimation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3656