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SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and
  Semantic Segmentation from Monocular Camera Images

SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

15 March 2024
Pardis Taghavi
Reza Langari
Gaurav Pandey
    MDE
    ViT
ArXivPDFHTML

Papers citing "SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images"

36 / 36 papers shown
Title
Hybridnet for depth estimation and semantic segmentation
Hybridnet for depth estimation and semantic segmentation
Dalila Sánchez-Escobedo
Xiao Lin
J. Casas
M. Pardàs
SSeg
MDE
82
9
0
09 Feb 2024
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
Saurabh Saxena
Junhwa Hur
Charles Herrmann
Deqing Sun
David J. Fleet
DiffM
68
28
0
20 Dec 2023
Semantic Segmentation using Vision Transformers: A survey
Semantic Segmentation using Vision Transformers: A survey
Hans Thisanke
Chamli Deshan
K. Chamith
Sachith Seneviratne
Rajith Vidanaarachchi
Damayanthi Herath
ViT
61
151
0
05 May 2023
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
Markus Schön
M. Buchholz
Klaus C. J. Dietmayer
3DPC
3DGS
50
42
0
27 Jun 2022
Cross-task Attention Mechanism for Dense Multi-task Learning
Cross-task Attention Mechanism for Dense Multi-task Learning
Ivan Lopes
Tuan-Hung Vu
Raoul de Charette
59
28
0
17 Jun 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
53
64
0
29 Mar 2022
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive
  Correlation
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Jiankun Li
Peisen Wang
Pengfei Xiong
Tao Cai
Zi-Ping Yan
Lei Yang
Jiangyu Liu
Haoqiang Fan
Shuaicheng Liu
3DV
97
252
0
22 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene
  Understanding
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
Hanrong Ye
Dan Xu
ViT
47
88
0
15 Mar 2022
Attentive and Contrastive Learning for Joint Depth and Motion Field
  Estimation
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
Seokju Lee
François Rameau
Fei Pan
In So Kweon
95
33
0
13 Oct 2021
Exploring Relational Context for Multi-Task Dense Prediction
Exploring Relational Context for Multi-Task Dense Prediction
David Brüggemann
Menelaos Kanakis
Anton Obukhov
Stamatios Georgoulis
Luc Van Gool
71
77
0
28 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
421
21,347
0
25 Mar 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
54
90
0
04 Feb 2021
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth
  Estimation
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer
Dengxin Dai
Yuhua Chen
Adrian Köring
Suman Saha
Luc Van Gool
3DPC
SSL
MDE
70
104
0
19 Dec 2020
Multi-task GANs for Semantic Segmentation and Depth Completion with
  Cycle Consistency
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency
Chongzhen Zhang
Yang Tang
Chaoqiang Zhao
Qiyu Sun
Zhencheng Ye
Jürgen Kurths
41
35
0
29 Nov 2020
AdaBins: Depth Estimation using Adaptive Bins
AdaBins: Depth Estimation using Adaptive Bins
S. Bhat
Ibraheem Alhashim
Peter Wonka
3DV
MDE
ViT
108
854
0
28 Nov 2020
Unsupervised Monocular Depth Learning in Dynamic Scenes
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li
A. Gordon
Hang Zhao
Vincent Casser
Angelova
MDE
100
136
0
30 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
555
40,739
0
22 Oct 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
53
222
0
19 Jan 2020
Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
MDE
64
104
0
12 Jun 2019
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
150
1,281
0
10 Oct 2018
Unsupervised Adversarial Depth Estimation using Cycled Generative
  Networks
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks
Andrea Pilzer
Dan Xu
M. Puscas
Elisa Ricci
N. Sebe
MDE
GAN
109
176
0
28 Jul 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
455
1,728
0
06 Jun 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
46
477
0
11 May 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
51
1,052
0
28 Mar 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
156
1,284
0
07 Nov 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
266
3,122
0
19 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
187
9,545
0
31 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
166
4,825
0
26 Jan 2017
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
SSeg
68
698
0
22 Dec 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
233
18,195
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
683
37,843
0
20 May 2016
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional
  Networks
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian
Hamed Pirsiavash
Jana Kosecka
SSeg
61
152
0
25 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
84
1,347
0
12 Apr 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
11,587
0
06 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
76,917
0
18 May 2015
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
MDE
3DPC
3DV
210
4,052
0
09 Jun 2014
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