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Self-Supervised Attention Learning for Depth and Ego-motion Estimation
v1v2 (latest)

Self-Supervised Attention Learning for Depth and Ego-motion Estimation

27 April 2020
Assem Sadek
Boris Chidlovskii
    MDE
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Attention Learning for Depth and Ego-motion Estimation"

3 / 3 papers shown
Title
Multi-Frame Self-Supervised Depth with Transformers
Multi-Frame Self-Supervised Depth with Transformers
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Di Chen
Sergey Zakharov
Adrien Gaidon
ViTMDE
89
86
0
15 Apr 2022
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for
  Consistent Self-Supervised Monocular Depth Estimation
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp
Daoyi Gao
Hanzhi Chen
Nassir Navab
Benjamin Busam
ViTMDE
127
37
0
15 Oct 2021
Learning a Geometric Representation for Data-Efficient Depth Estimation
  via Gradient Field and Contrastive Loss
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss
D. Shim
H. J. Kim
SSLMDE
54
1
0
06 Nov 2020
1