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

16 June 2022

Luc Van Gool

Bernt Schiele

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 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 Zhizheng Liu Mattia Segu Fisher Yu 11 4 0 04 Oct 2023
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 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 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 33 4 0 27 Sep 2023
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 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 Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 28 0 0 22 Sep 2023
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 Damian Sójka Sebastian Cygert Bartlomiej Twardowski Tomasz Trzciñski TTA 13 4 0 18 Sep 2023
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 Thomas E. Huang Yifan Liu Luc Van Gool Fisher Yu 19 5 0 08 Sep 2023
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 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 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 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 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? 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 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 Amit Shomer S. Avidan 3DV 3DPC MDE 27 1 0 14 Apr 2023
Survey on LiDAR Perception in Adverse Weather Conditions M. Dreissig Dominik Scheuble Florian Piewak Joschka Boedecker 11 31 0 13 Apr 2023
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 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 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 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 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 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 Charlie Hewitt T. Baltrušaitis Erroll Wood Lohit Petikam L. Florentin Hanz Cuevas-Velasquez CVBM 3DH 20 4 0 03 Jan 2023
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 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 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 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 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 Paolo Testolina F. Barbato Umberto Michieli M. Giordani Pietro Zanuttigh Michele Zorzi 22 34 0 20 Apr 2022
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 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 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 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 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 Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015