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SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised
  Monocular Depth Estimation

SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation

31 March 2023
Shan Lin
Yuheng Zhi
Michael C. Yip
    MDE
ArXiv (abs)PDFHTML

Papers citing "SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation"

19 / 19 papers shown
Title
StructDepth: Leveraging the structural regularities for self-supervised
  indoor depth estimation
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
Boying Li
Yuan Huang
Zeyu Liu
Danping Zou
Wenxian Yu
MDE
87
52
0
19 Aug 2021
SuMa++: Efficient LiDAR-based Semantic SLAM
SuMa++: Efficient LiDAR-based Semantic SLAM
Xieyuanli Chen
Andres Milioto
Andres Milioto Emanuele Palazzolo
Philippe Giguère
Jens Behley
C. Stachniss
87
442
0
24 May 2021
AdaBins: Depth Estimation using Adaptive Bins
AdaBins: Depth Estimation using Adaptive Bins
S. Bhat
Ibraheem Alhashim
Peter Wonka
3DVMDEViT
122
858
0
28 Nov 2020
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
119
324
0
14 Jul 2020
The Edge of Depth: Explicit Constraints between Segmentation and Depth
The Edge of Depth: Explicit Constraints between Segmentation and Depth
Shengjie Zhu
Garrick Brazil
Xiaoming Liu
MDE
66
105
0
01 Apr 2020
Probabilistic Data Association via Mixture Models for Robust Semantic
  SLAM
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM
Kevin Doherty
David Baxter
Edward Schneeweiss
John J. Leonard
64
70
0
24 Sep 2019
SuPer: A Surgical Perception Framework for Endoscopic Tissue
  Manipulation with Surgical Robotics
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li
Florian Richter
Jingpei Lu
E. Funk
Ryan K. Orosco
Jianke Zhu
Michael C. Yip
72
104
0
11 Sep 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
68
285
0
08 Jun 2019
Geometry meets semantics for semi-supervised monocular depth estimation
Geometry meets semantics for semi-supervised monocular depth estimation
Pierluigi Zama Ramirez
Matteo Poggi
Fabio Tosi
S. Mattoccia
Luigi Di Stefano
MDE
79
113
0
09 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Andrei Ambrus
Adrien Gaidon
SupRMDE
70
220
0
03 Oct 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
54
1,144
0
06 Mar 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
605
2,240
0
25 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
159
2,830
0
15 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,135
0
19 May 2017
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
150
2,887
0
13 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,641
0
06 Apr 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
303
5,532
0
23 Nov 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
235
6,041
0
26 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
239
4,063
0
09 Jun 2014
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