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SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

16 June 2022
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
F. I. F. Richard Yu
    TTA
ArXivPDFHTML

Papers citing "SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation"

40 / 90 papers shown
Title
VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation
  Method for Test-time Adaptive Object Detection
VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection
Chenyu Lin
Yusheng He
Zhengqing Zang
Chenwei Tang
Tao Wang
Jiancheng Lv
VLM
11
0
0
13 Oct 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object
  Tracking
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking
Zhizheng Liu
Mattia Segu
Fisher Yu
11
4
0
04 Oct 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu
Bernt Schiele
Fisher Yu
TTA
22
13
0
03 Oct 2023
InfraParis: A multi-modal and multi-task autonomous driving dataset
InfraParis: A multi-modal and multi-task autonomous driving dataset
Gianni Franchi
Marwane Hariat
Xuanlong Yu
Nacim Belkhir
Antoine Manzanera
David Filliat
6
9
0
27 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
28
4
0
27 Sep 2023
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
Jicheng Yuan
Anh Le-Tuan
Manh Nguyen-Duc
T. Tran
M. Hauswirth
Danh Le-Phuoc
19
4
0
24 Sep 2023
Distribution-Aware Continual Test-Time Adaptation for Semantic
  Segmentation
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
Jiayin Ni
Senqiao Yang
Ran Xu
Jiaming Liu
Xiaoqi Li
Wenyu Jiao
Zehui Chen
Yi Liu
Shanghang Zhang
TTA
22
7
0
24 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion
  Perturbations
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
28
0
0
22 Sep 2023
DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs
DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs
Jiawen Zhu
Huayi Tang
Zhi-Qi Cheng
Ju He
Bin Luo
Shihao Qiu
Shengming Li
Huchuan Lu
24
12
0
19 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
13
4
0
18 Sep 2023
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous
  Driving
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving
Ahmed Rida Sekkat
Rohit Mohan
Oliver Sawade
Elmar Matthes
Abhinav Valada
28
9
0
12 Sep 2023
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous
  Driving
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Thomas E. Huang
Yifan Liu
Luc Van Gool
Fisher Yu
19
5
0
08 Sep 2023
Understanding Dark Scenes by Contrasting Multi-Modal Observations
Understanding Dark Scenes by Contrasting Multi-Modal Observations
Xiaoyu Dong
Naoto Yokoya
27
5
0
23 Aug 2023
Synthetic outlier generation for anomaly detection in autonomous driving
Synthetic outlier generation for anomaly detection in autonomous driving
Martin Bikandi
G. Velez
N. Aginako
I. Irigoien
11
0
0
04 Aug 2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
Marc Botet Colomer
Pier Luigi Dovesi
Theodoros Panagiotakopoulos
J. Carvalho
Linus Harenstam-Nielsen
Hossein Azizpour
Hedvig Kjellström
Daniel Cremers
Matteo Poggi
TTA
23
9
0
27 Jul 2023
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and
  Context Dataset
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset
Manuel Hetzel
H. Reichert
Günther Reitberger
E. Fuchs
Konrad Doll
Bernhard Sick
13
3
0
12 Jul 2023
M3Act: Learning from Synthetic Human Group Activities
M3Act: Learning from Synthetic Human Group Activities
Che-Jui Chang
Danrui Li
Aditya Bhat
Parth Goel
Honglu Zhou
Seonghyeon Moon
Samuel S. Sohn
Sejong Yoon
Vladimir Pavlovic
Mubbasir Kapadia
DiffM
10
5
0
29 Jun 2023
Towards Motion Forecasting with Real-World Perception Inputs: Are
  End-to-End Approaches Competitive?
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Yihong Xu
Loick Chambon
Éloi Zablocki
Mickaël Chen
Alexandre Alahi
Matthieu Cord
P. Pérez
21
16
0
15 Jun 2023
Synthetic Datasets for Autonomous Driving: A Survey
Synthetic Datasets for Autonomous Driving: A Survey
Zhihang Song
Zimin He
Xingyu Li
Q. Ma
RuiBo Ming
...
Huaxin Pei
Lihui Peng
Jianming Hu
D. Yao
Yan Zhang
26
38
0
24 Apr 2023
Prior based Sampling for Adaptive LiDAR
Prior based Sampling for Adaptive LiDAR
Amit Shomer
S. Avidan
3DV
3DPC
MDE
27
1
0
14 Apr 2023
Survey on LiDAR Perception in Adverse Weather Conditions
Survey on LiDAR Perception in Adverse Weather Conditions
M. Dreissig
Dominik Scheuble
Florian Piewak
Joschka Boedecker
8
31
0
13 Apr 2023
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain
  Shift
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift
Patrick M. Jensen
Anders B. Dahl
Carsten Gundlach
Rebecca J Engberg
H. Kjer
Vedrana Andersen Dahl
20
1
0
04 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Bernard Ghanem
Marc Van Droogenbroeck
CLL
22
8
0
03 Apr 2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised
  Domain Adaptive Object Detection
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
Mikhail Kennerley
Jian-Gang Wang
B. Veeravalli
R. Tan
ObjD
37
33
0
24 Mar 2023
The Audio-Visual BatVision Dataset for Research on Sight and Sound
The Audio-Visual BatVision Dataset for Research on Sight and Sound
Amandine Brunetto
Sascha Hornauer
Stella X. Yu
Fabien Moutarde
33
3
0
13 Mar 2023
OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
Saghir Alfasly
Zaid Al-Huda
Saifullahi Aminu Bello
Ahmed Elazab
Jian Lu
C. Xu
22
0
0
01 Mar 2023
Impact, Attention, Influence: Early Assessment of Autonomous Driving
  Datasets
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets
Daniel Bogdoll
Jonas Hendl
Felix Schreyer
Nisha S. Gowda
Michael Färber
J. Marius Zöllner
14
4
0
05 Jan 2023
Procedural Humans for Computer Vision
Procedural Humans for Computer Vision
Charlie Hewitt
T. Baltrušaitis
Erroll Wood
Lohit Petikam
L. Florentin
Hanz Cuevas-Velasquez
CVBM
3DH
18
4
0
03 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics
A System-Level View on Out-of-Distribution Data in Robotics
Rohan Sinha
Apoorva Sharma
Somrita Banerjee
T. Lew
Rachel Luo
Spencer M. Richards
Yixiao Sun
Edward Schmerling
Marco Pavone
UQCV
28
22
0
28 Dec 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
5
0
13 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
44
9
0
11 Oct 2022
Online Domain Adaptation for Semantic Segmentation in Ever-Changing
  Conditions
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
Theodoros Panagiotakopoulos
Pier Luigi Dovesi
Linus Harenstam-Nielsen
Matteo Poggi
CLL
9
18
0
21 Jul 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly
  Detection
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Marius Dragoi
Elena Burceanu
Emanuela Haller
Andrei Manolache
Florin Brad
OOD
10
18
0
30 Jun 2022
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather,
  Daytime and Viewpoints
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Paolo Testolina
F. Barbato
Umberto Michieli
M. Giordani
Pietro Zanuttigh
Michele Zorzi
16
34
0
20 Apr 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
On the Practicality of Deterministic Epistemic Uncertainty
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels
Mattia Segu
Tao Sun
Luca Sieber
Luc Van Gool
F. I. F. Richard Yu
Federico Tombari
UQCV
17
59
0
01 Jul 2021
ACDC: The Adverse Conditions Dataset with Correspondences for Robust
  Semantic Driving Scene Perception
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception
Christos Sakaridis
Haoran Wang
Ke Li
René Zurbrugg
Arpit Jadon
Wim Abbeloos
Daniel Olmeda Reino
Luc Van Gool
Dengxin Dai
21
4
0
27 Apr 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
22
14
0
09 Nov 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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