VirtualWorlds as Proxy for Multi-object Tracking Analysis
Gaidon, Adrien, Wang, Qiao, Cabon, Yohann, Vig, Eleonora·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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- ReferencesAntonio Manuel López, Atsushi Imiya, Tomáš Pajdla, José Manuel Álvarez · 2017
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- A Dataset for Lane Instance Segmentation in Urban EnvironmentsRoberts, Brook, Sebastian Kaltwang, Sina Samangooei, Mark Pender-Bare, Κωνσταντίνος Τερτίκας, John Redford · 2018 · arXiv (Cornell University)
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- Pigtrack: A Novel Benchmark for Multi Object TrackingGuokun Cao, Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen · 2023 · SSRN Electronic Journal
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- 3D Object DetectionJianfeng Ren, Dong Xia · 2023 · Springer eBooks
- SSDC-GAN: Same Size Densely Connected GAN for Dehazing NetworkJuan Wang, Chang Ding, Yonggang Ye, Minghu Wu, Zetao Zhang, Sheng Wang, Hao Yang, Ye Cao · 2023 · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems
- Modeling perception errors in autonomous vehicles and their impact on behaviorAndrea Piazzoni · 2023
- Olsd-Slam:Outdoor Large-Scale Dynamic Slam Dense Mapping SystemGang Li, Yongheng Zhu, Huilan Huang, Bolin Zhou, Jian Yu, Xiaoman Xu, Hao Luo, Chen Huang · 2023 · SSRN Electronic Journal
- WITHDRAWN: Outdoor UDA Depth Estimation with Intra-domain Attention and Cross-domain Edge ConstraintGuo Peng, Shuguo Pan, Peng Cheng Hu, Ling Pei, Baoguo Yu · 2023 · Research Square
- Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking TasksJatin Katyal, Charalambos Poullis · 2023 · Lecture notes in computer science
- Enhancing CARLA Traffic Simulation with Pedestrian Animation for Testing Perception Functions in Automated DrivingLucas Fonseca Alexandre de Oliveira, Johannes Bernhard, Lars Schories, Martin Meywerk, Eric Sax · 2023 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- Impacts of Synthetically Generated Data on Trackformer-based Multi-Object TrackingMatthew Lee, Clayton Harper, William Flinchbaugh, Eric C. Larson, Mitchell Aaron Thornton · 2023 · IEEE Applied Imagery Pattern Recognition Workshop
- ASADA: Attention-Induced Style Alignment Domain Adaptation for Traffic Object DetectionXiao Mao, Zining Liu, Hui Zhang, Yidong Li · 2023 · IEEE Smart World Congress (SWC)
- Learning to Simulate Labelled Datasets with an Image-Level Content Consistent Graph ConstraintXiling He, Zhenfeng Xue, Xiongtao Zhang, Yong Liu · 2023 · China Automation Congress (CAC)
- Polar-Ano: Surface Anomaly Detection via Deep Polarization Imaging and Data Synthesis with Physic-based RenderingYaxu Xie, Alain Pagani, Didier Stricker · 2023 · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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