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v1v2 (latest)

MGNiceNet: Unified Monocular Geometric Scene Understanding

18 November 2024
Markus Schön
Michael Buchholz
Klaus C. J. Dietmayer
    3DPC
ArXiv (abs)PDFHTML

Papers citing "MGNiceNet: Unified Monocular Geometric Scene Understanding"

44 / 44 papers shown
Title
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
85
38
0
01 Sep 2023
Towards Deeply Unified Depth-aware Panoptic Segmentation with
  Bi-directional Guidance Learning
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Ju He
Yifan Wang
Lijun Wang
Huchuan Lu
Jun-Yan He
Jinpeng Lan
Bin Luo
Yifeng Geng
Xuansong Xie
MDE
65
8
0
27 Jul 2023
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation
Markus Schön
M. Buchholz
Klaus C. J. Dietmayer
SSeg
47
2
0
02 May 2023
OneFormer: One Transformer to Rule Universal Image Segmentation
OneFormer: One Transformer to Rule Universal Image Segmentation
Jitesh Jain
Jiacheng Li
M. Chiu
Ali Hassani
Nikita Orlov
Humphrey Shi
ViT
78
348
0
10 Nov 2022
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to
  Depth-aware Video Panoptic Segmentation
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation
Andra Petrovai
S. Nedevschi
MDE
66
8
0
14 Oct 2022
RTFormer: Efficient Design for Real-Time Semantic Segmentation with
  Transformer
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Jian Wang
Chen-xi Gou
Qiman Wu
Haocheng Feng
Junyu Han
Errui Ding
Jingdong Wang
ViT
67
103
0
13 Oct 2022
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViTMDE
93
187
0
06 Aug 2022
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer
  via Hierarchical Mask Calibration
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
Jingyi Zhang
Jiaxing Huang
Xiaoqin Zhang
Shijian Lu
76
7
0
30 Jun 2022
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
Markus Schön
M. Buchholz
Klaus C. J. Dietmayer
3DPC3DGS
85
44
0
27 Jun 2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu
Huiyu Wang
Dahun Kim
Siyuan Qiao
Maxwell D. Collins
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViTMedIm
121
92
0
17 Jun 2022
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
Naiyu Gao
Fei He
Jian Jia
Yanhu Shan
Haoyang Zhang
Xin Zhao
Kaiqi Huang
MDE
77
25
0
01 Jun 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
202
5,261
0
10 Jan 2022
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic
  Segmentation
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
Haobo Yuan
Xiangtai Li
Yibo Yang
Guangliang Cheng
Jing Zhang
Yunhai Tong
Lefei Zhang
Dacheng Tao
MDE
138
43
0
05 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
291
2,400
0
02 Dec 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLMViT
214
1,557
0
13 Jul 2021
K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
ISeg
124
372
0
28 Jun 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
99
271
0
29 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
497
21,656
0
25 Mar 2021
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic
  Segmentation
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Siyuan Qiao
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
MDE
121
145
0
09 Dec 2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
147
531
0
01 Dec 2020
AdaBins: Depth Estimation using Adaptive Bins
AdaBins: Depth Estimation using Adaptive Bins
S. Bhat
Ibraheem Alhashim
Peter Wonka
3DVMDEViT
173
862
0
28 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
132
49
0
23 Nov 2020
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation
  Synergized with Semantic Segmentation for Autonomous Driving
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
V. Kumar
Marvin Klingner
S. Yogamani
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
128
81
0
10 Aug 2020
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation
  for Autonomous Driving Applications
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
Feng Xue
Guirong Zhuo
Ziyuan Huang
Wufei Fu
Zhuoyue Wu
M. Ang
MDE
88
77
0
12 Apr 2020
EfficientPS: Efficient Panoptic Segmentation
EfficientPS: Efficient Panoptic Segmentation
Rohit Mohan
Abhinav Valada
114
237
0
05 Apr 2020
Semantically-Guided Representation Learning for Self-Supervised
  Monocular Depth
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Andrei Ambrus
Adrien Gaidon
SSLMDE
126
229
0
27 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
626
42,770
0
03 Dec 2019
Real-Time Panoptic Segmentation from Dense Detections
Real-Time Panoptic Segmentation from Dense Detections
Rui Hou
Jie Li
Arjun Bhargava
Allan Raventos
Vitor Campagnolo Guizilini
Chao Fang
J. Lynch
Adrien Gaidon
SSeg
80
67
0
03 Dec 2019
Panoptic-DeepLab
Panoptic-DeepLab
Bowen Cheng
Maxwell D. Collins
Yukun Zhu
Ting Liu
Thomas S. Huang
Hartwig Adam
Liang-Chieh Chen
109
615
0
10 Oct 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL3DPCMDE
126
650
0
06 May 2019
Seamless Scene Segmentation
Seamless Scene Segmentation
Lorenzo Porzi
Samuel Rota Buló
Aleksander Colovic
Peter Kontschieder
SSeg
191
210
0
03 May 2019
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISegSSeg
178
1,295
0
08 Jan 2019
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
77
480
0
11 May 2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry
  with Deep Feature Reconstruction
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Huangying Zhan
Ravi Garg
C. Weerasekera
Kejie Li
Harsh Agarwal
Ian Reid
MDE
82
633
0
11 Mar 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
139
1,451
0
03 Jan 2018
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
176
829
0
22 Aug 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
145
2,158
0
11 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
909
133,201
0
12 Jun 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
160
2,582
0
25 Apr 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
159
2,890
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
11,685
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.4K
195,011
0
10 Dec 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
143
1,214
0
15 Jun 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
MDE3DPC3DV
256
4,071
0
09 Jun 2014
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