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Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics

Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics

12 June 2019
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
    MDE
ArXivPDFHTML

Papers citing "Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics"

16 / 16 papers shown
Title
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with
  Probabilistic Fusion
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
Sungmin Woo
Wonjoon Lee
Woo Jin Kim
Dogyoon Lee
Sangyoun Lee
MDE
18
3
0
12 Jul 2024
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
22
33
0
01 Sep 2023
An End-to-end Food Portion Estimation Framework Based on Shape
  Reconstruction from Monocular Image
An End-to-end Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image
Zeman Shao
Gautham Vinod
Jiangpeng He
F. Zhu
25
13
0
03 Aug 2023
Lite-Mono: A Lightweight CNN and Transformer Architecture for
  Self-Supervised Monocular Depth Estimation
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
Ning Zhang
F. Nex
G. Vosselman
N. Kerle
MDE
33
153
0
23 Nov 2022
Mapping the ocular surface from monocular videos with an application to
  dry eye disease grading
Mapping the ocular surface from monocular videos with an application to dry eye disease grading
Ikram Brahim
M. Lamard
A. Benyoussef
Pierre-Henri Conze
B. Cochener
D. Cornec
G. Quellec
14
0
0
02 Sep 2022
Unsupervised Learning of Depth, Camera Pose and Optical Flow from
  Monocular Video
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video
D. Mandal
Abhilash Jain
MDE
15
1
0
19 May 2022
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng
Liang Yang
Longlong Jing
Haiyan Wang
Yingli Tian
Bing Li
MDE
23
62
0
29 Mar 2022
LocalBins: Improving Depth Estimation by Learning Local Distributions
LocalBins: Improving Depth Estimation by Learning Local Distributions
S. Bhat
Ibraheem Alhashim
Peter Wonka
MDE
27
99
0
28 Mar 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in
  Dynamic Environments
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
13
3
0
21 Jan 2022
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry
  Perception with Adaptive Cross Weighted Loss from Monocular Videos
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang
Guizhong Liu
3DPC
SSL
21
0
0
09 Aug 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
28
264
0
29 Apr 2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround
  View Fisheye Cameras
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar
Marvin Klingner
S. Yogamani
Markus Bach
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
48
37
0
09 Apr 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection
  Consistency
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee
Sunghoon Im
Stephen Lin
In So Kweon
3DV
MDE
14
87
0
04 Feb 2021
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
35
317
0
14 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
46
82
0
10 Jun 2020
DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion
  Segmentation
DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
Chenjie Wang
B. Luo
Yun Zhang
Qing Zhao
Lu-Jun Yin
Wei Wang
X. Su
Yajun Wang
Chengyuan Li
21
39
0
10 Mar 2020
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