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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

22 December 2016
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
    SSeg
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Papers citing "MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving"

50 / 73 papers shown
Title
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
Dongyoon Yang
Jihu Lee
Yongdai Kim
29
0
0
10 May 2025
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
Stefan Schoder
48
0
0
31 Dec 2024
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
34
8
0
09 Feb 2024
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
Stefania Bellavia
Francesco Della Santa
Alessandra Papini
41
0
0
26 Dec 2023
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic
  Segmentation using Active Learning
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
Marc Schachtsiek
Simone Rossi
T. Hannagan
39
0
0
23 Nov 2023
You Only Look at Once for Real-time and Generic Multi-Task
You Only Look at Once for Real-time and Generic Multi-Task
Graduate Student Member Ieee Jiayuan. Wang
S. M. I. Q. M. Jonathan Wu
Wu Wang
VLM
28
24
0
02 Oct 2023
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and
  Lane Segmentation in Self-Driving Cars
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars
Huy Che Quang
Dinh Phuc Nguyen
Minh Pham
D. Lam
SSeg
42
13
0
20 Jul 2023
Joint Perceptual Learning for Enhancement and Object Detection in
  Underwater Scenarios
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios
C. Fu
Wanqi Yuan
Jiewen Xiao
Risheng Liu
Xin-Yue Fan
22
0
0
07 Jul 2023
HumanBench: Towards General Human-centric Perception with Projector
  Assisted Pretraining
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Shixiang Tang
Cheng Chen
Qingsong Xie
Meilin Chen
Yizhou Wang
...
Feng Zhu
Haiyang Yang
Li Yi
Rui Zhao
Wanli Ouyang
VLM
29
36
0
10 Mar 2023
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale
Yuxiang Zhang
Suresh Devalapalli
Sachin Mehta
A. Caspi
29
2
0
04 Mar 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
35
50
0
13 Feb 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and
  Multi-task Learning
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
Chengzhi Wu
Linxi Qiu
Kanran Zhou
Julius Pfrommer
Jürgen Beyerer
37
1
0
11 Jan 2023
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
39
2
0
24 Oct 2022
Semantic Segmentation under Adverse Conditions: A Weather and
  Nighttime-aware Synthetic Data-based Approach
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach
Abdulrahman Kerim
Felipe C. Chamone
W. Ramos
Leandro Soriano Marcolino
Erickson R. Nascimento
Richard M. Jiang
60
9
0
11 Oct 2022
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception
Cheng Han
Qichao Zhao
Shuyi Zhang
Yinzi Chen
Zhenlin Zhang
Jinwei Yuan
47
69
0
24 Aug 2022
Improving Semantic Segmentation in Transformers using Hierarchical
  Inter-Level Attention
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention
Gary Leung
Jun Gao
Fangyin Wei
Sanja Fidler
21
3
0
05 Jul 2022
FasterVideo: Efficient Online Joint Object Detection And Tracking
FasterVideo: Efficient Online Joint Object Detection And Tracking
Issa Mouawad
Francesca Odone
VOT
32
4
0
15 Apr 2022
HybridNets: End-to-End Perception Network
HybridNets: End-to-End Perception Network
Dat Vu
Bao Ngo
H. Phan
36
79
0
17 Mar 2022
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OOD
VLM
3DV
65
40
0
06 Dec 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through
  Multitask Learning
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
Partoo Vafaeikia
M. Wagner
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
11
6
0
29 Nov 2021
Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
34
89
0
25 Nov 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for
  Efficient Distillation
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
26
4
0
19 Oct 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning
  to Segment Driveability in Egocentric Images
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSeg
EgoV
34
15
0
15 Sep 2021
YOLOP: You Only Look Once for Panoptic Driving Perception
YOLOP: You Only Look Once for Panoptic Driving Perception
Dongsheng Wu
Man-Wen Liao
Wei-Tian Zhang
Xinggang Wang
X. Bai
Wenqing Cheng
Wen-Yu Liu
54
303
0
25 Aug 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map
  Inference
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan
Youngji Kim
J. Grizzle
Jeffrey M. Walls
Ayoung Kim
Ryan Eustice
Maani Ghaffari
32
15
0
28 Jun 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
89
61
0
27 Apr 2021
MonoGRNet: A General Framework for Monocular 3D Object Detection
MonoGRNet: A General Framework for Monocular 3D Object Detection
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
42
36
0
18 Apr 2021
OmniDet: Surround View Cameras based Multi-task Visual Perception
  Network for Autonomous Driving
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
Varun Ravi Kumar
S. Yogamani
Hazem Rashed
Ganesh Sitsu
Christian Witt
Isabelle Leang
Stefan Milz
Patrick Mäder
39
90
0
15 Feb 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
35
298
0
13 Aug 2020
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like
  Diseases Diagnosis From X-ray Scans
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
Abdullah Tarek Farag
A. A. El-Wahab
Mahmoud Nada
M. A. El-Hakeem
Omar Sayed Mahmoud
Reem Khaled Rashwan
Ahmad El-Sallab
26
5
0
05 Aug 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement
  Learning
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Shauharda Khadka
Estelle Aflalo
Mattias Marder
Avrech Ben-David
Santiago Miret
Shie Mannor
Tamir Hazan
Hanlin Tang
Somdeb Majumdar
GNN
27
11
0
14 Jul 2020
RoadNet-RT: High Throughput CNN Architecture and SoC Design for
  Real-Time Road Segmentation
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation
Lin Bai
Yecheng Lyu
Xinming Huang
AI4TS
21
26
0
13 Jun 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
29
72
0
28 Apr 2020
Joint Semantic Segmentation and Boundary Detection using Iterative
  Pyramid Contexts
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts
Mingmin Zhen
Jinglu Wang
Lei Zhou
Shiwei Li
Tianwei Shen
Jiaxiang Shang
Tian Fang
Quan Long
24
129
0
16 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through
  Targeted Chain of Bit Flips
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Fan Yao
Adnan Siraj Rakin
Deliang Fan
AAML
18
154
0
30 Mar 2020
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Qibin Hou
Li Zhang
Ming-Ming Cheng
Jiashi Feng
SSeg
3DPC
44
498
0
30 Mar 2020
Multi-Scale Progressive Fusion Network for Single Image Deraining
Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang
Zhongyuan Wang
Peng Yi
Chong Chen
Baojin Huang
Yimin Luo
Jiayi Ma
Junjun Jiang
31
586
0
24 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
67
63
0
02 Mar 2020
Cross-dataset Training for Class Increasing Object Detection
Cross-dataset Training for Class Increasing Object Detection
Yongqiang Yao
Yan Wang
Yu-Xiao Guo
Jiaojiao Lin
Hongwei Qin
Junjie Yan
ObjD
24
17
0
14 Jan 2020
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and
  Classification
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
Lukas Liebel
Marco Körner
3DH
44
25
0
25 Jul 2019
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
Warp and Learn: Novel Views Generation for Vehicles and Other Objects
Andrea Palazzi
Luca Bergamini
Simone Calderara
Rita Cucchiara
26
0
0
24 Jul 2019
How much real data do we actually need: Analyzing object detection
  performance using synthetic and real data
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
F. Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
R. Laganière
Julien Rebut
36
77
0
16 Jul 2019
Certifiably Robust Interpretation in Deep Learning
Certifiably Robust Interpretation in Deep Learning
Alexander Levine
Sahil Singla
S. Feizi
FAtt
AAML
26
63
0
28 May 2019
Deep Representation Learning for Road Detection through Siamese Network
Deep Representation Learning for Road Detection through Siamese Network
Huafeng Liu
Xiaofeng Han
Xiangrui Li
Yazhou Yao
Pu Huang
Zhenmin Tang
3DPC
24
15
0
26 May 2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
Jaehoon Cho
Dongbo Min
Youngjung Kim
Kwanghoon Sohn
MDE
3DV
33
47
0
23 Apr 2019
Automated Focal Loss for Image based Object Detection
Automated Focal Loss for Image based Object Detection
Michael Weber
Michael Fürst
Johann Marius Zöllner
26
26
0
19 Apr 2019
Progressive LiDAR Adaptation for Road Detection
Progressive LiDAR Adaptation for Road Detection
Zhe Chen
Jing Zhang
Dacheng Tao
20
150
0
02 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
96
0
28 Mar 2019
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