The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Ros, German, Sellart, Laura, Materzynska, Joanna, Vazquez, David, Lopez, Antonio M.·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,001)

Items 901–1,000 of 1,001

  1. Augmentation-based Domain Generalization for Semantic Segmentation
    Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk · 2023 · IEEE Intelligent Vehicles Symposium
  2. A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
    Hui Tang, Kui Jia · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  3. MAgro dataset: A dataset for simultaneous localization and mapping in agricultural environments
    Mercedes Marzoa Tanco, Guillermo Trinidad Barnech, Federico Andrade, Javier Baliosián, Martín Llofriu, JM Di Martino, Gonzalo Tejera · 2023 · The International Journal of Robotics Research
  4. Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing
    Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  5. Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
    Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  6. Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers
    Giulia Rizzoli, Donald Shenaj, Pietro Zanuttigh · 2024 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  7. Kill Two Birds with One Stone: Domain Generalization for Semantic Segmentation via Network Pruning
    Yawei Luo, Ping Liu, Yi Yang · 2024 · International Journal of Computer Vision
  8. Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning
    Akhil Thomas, Ali Riza Durmaz, Thomas Straub, Christoph Eberl · 2020 · Materials
  9. Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model
    José E. Valdez-Rodríguez, Hiram Calvo, Edgardo Manuel Felipe Riverón, Marco A. Moreno-Armendáriz · 2022 · Sensors
  10. UASOL, a large-scale high-resolution outdoor stereo dataset
    Zuria Bauer, Francisco Gomez‐Donoso, Edmanuel Cruz, Sergio Orts‐Escolano, Miguel Cazorla · 2019 · Scientific Data
  11. Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
    Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrušaitis · 2020 · arXiv (Cornell University)
  12. Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
    Yingjie Wang, Mao, Qiuyu, Hanqi Zhu, Deng, Jiajun, Yu Zhang, Jianmin Ji, Li, Houqiang, Yanyong Zhang · 2021 · arXiv (Cornell University)
  13. A Comprehensive Survey of Deep Learning Multisensor Fusion-based 3D Object Detection for Autonomous Driving: Methods, Challenges, Open Issues, and Future Directions
    Simegnew Yihunie Alaba, Ali Cafer Gürbüz, John E. Ball · 2022
  14. NIRNet: Noise Incentive Robust Network in Remote Sensing Object Detection Under Cloud Corruption
    Peng Zhang, Gong Cheng, Chunbo Lang, Xingxing Xie, Junwei Han · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  15. SeCoV2: Semantic Connectivity-Driven Pseudo-Labeling for Robust Cross-Domain Semantic Segmentation
    Dong Zhao, Qi Zang, Nan Pu, Shuang Wang, Nicu Sebe, Zhun Zhong · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  16. Automatic Annotation of Airborne Images by Label Propagation Based on a Bayesian-CRF Model
    Xiangyu Zhuo, Friedrich Fraundorfer, Franz Kurz, Peter H. Reinartz · 2019 · Remote Sensing
  17. What’s There in the Dark
    Sauradip Nag, Saptakatha Adak, Sukhendu Das · 2019 · Proceedings - International Conference on Image Processing
  18. Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption
    Chen-Hao Chao, Bo-Wun Cheng, Chun‐Yi Lee · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  19. Distinguishing foreground and background alignment for unsupervised domain adaptative semantic segmentation
    Jia Zhang, Wei Li, Zhixin Li · 2022 · Image and Vision Computing
  20. Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation
    Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama · 2022 · Pattern Recognition
  21. Is Appearance Free Action Recognition Possible?
    Filip Ilic, Thomas Pock, Richard P. Wildes · 2022 · Lecture notes in computer science
  22. Object Detector Differences when Using Synthetic and Real Training Data
    Martin Georg Ljungqvist, Otto Nordander, Markus Skans, Arvid Mildner, Tony Liu, Pierre Nugues · 2023 · SN Computer Science
  23. Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective
    Christoph Hinniger, Joachim Rüter · 2023 · Aerospace
  24. Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation
    Muxin Liao, Shishun Tian, Yuhang Zhang, Guoguang Hua, Wenbin Zou, Xia Li · 2023 · ACM International Conference on Multimedia (ACM MM)
  25. Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis
    Jiayu Zhang, Hang Li, Dexuan Xu, Yiwei Lou, Menglong Ran, Zhi Gang Jin, Yu Huang · 2024 · IEEE Internet of Things Journal
  26. Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation
    Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan · 2024 · IEEE Transactions on Multimedia
  27. GPU-Accelerated Real-Time Stixel Computation
    Daniel Hernandez-Juarez, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio Manuel López · 2017 · IEEE Winter Conference on Applications of Computer Vision
  28. Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration
    Vianney Loing, Renaud Marlet, Mathieu Aubry · 2018 · International Journal of Computer Vision
  29. Semantic segmentation on small datasets of satellite images using convolutional neural networks
    Mohammed Chachan Younis, Edward C. Keedwell · 2019 · Journal of Applied Remote Sensing
  30. Bi-directional class-wise adversaries for unsupervised domain adaptation
    Guanglei Yang, Mingli Ding, Yongqiang Zhang · 2021 · Applied Intelligence
  31. Pixel-level Intra-domain Adaptation for Semantic Segmentation
    Zizheng Yan, Xianggang Yu, Yipeng Qin, Yushuang Wu, Xiaoguang Han, Shuguang Robert Cui · 2021 · ACM International Conference on Multimedia (ACM MM)
  32. Synthetic-to-Real Domain Adaptation Joint Spatial Feature Transform for Stereo Matching
    Xing Li, Yangyu Fan, Zhibo Rao, Guoyun Lv, Shiya Liu · 2021 · IEEE Signal Processing Letters
  33. Real-Time Artificial Intelligence Based Visual Simultaneous Localization and Mapping in Dynamic Environments – a Review
    Wan Faris Aizat Wan Aasim, Mohamed Okasha, W. Faris · 2022 · Journal of Intelligent and Robotic Systems
  34. Dataset Augmentation with Synthetic Images Improves Semantic Segmentation
    Manik Goyal, Param Rajpura, Hristo Bojinov, Ravi Hegde · 2018 · Communications in computer and information science
  35. Modular Sensor Fusion for Semantic Segmentation
    Hermann Blum, Abel Gawel, Roland Siegwart, César Cadena · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  36. Beyond Supervised Learning: A Computer Vision Perspective
    Lovish Chum, Anbumani Subramanian, Vineeth Nallure Balasubramanian, C. V. Jawahar · 2019 · Journal of the Indian Institute of Science
  37. Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes
    Radu Alexandru Rosu, Jan Quenzel, Sven Behnke · 2019 · International Journal of Computer Vision
  38. Unsettled Technology Areas in Autonomous Vehicle Test and Validation
    Rahul Razdan · 2019
  39. Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
    Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler · 2020 · arXiv (Cornell University)
  40. Boosting AI applications: Labeling format for complex datasets
    Marcos Nieto, Orti Senderos, Oihana Otaegui · 2020 · SoftwareX
  41. SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
    Seokju Yun, Seunghye Chae, Dongheon Lee, Youngmin Ro · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Super-resolution of interpolated downsampled semi-dense depth map
    Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev · 2018 · international conference on 3D web technology
  43. Truly Generalizable Radiograph Segmentation With Conditional Domain Adaptation
    Hugo Oliveira, Edemir Ferreira, Jefersson A. Dos Santos · 2020 · IEEE Access
  44. Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
    Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu · 2022 · Lecture notes in computer science
  45. Physics-Informed Guided Disentanglement in Generative Networks
    Fabio Pizzati, Pietro Cerri, Raoul de Charette · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  46. Domain adaptive Sim-to-Real segmentation of oropharyngeal organs
    Guankun Wang, Tian-Ao Ren, Jiewen Lai, Long Bai, Hongliang Ren · 2023 · Medical & Biological Engineering & Computing
  47. GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
    Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  48. Efficient virtual-to-real dataset synthesis for amodal instance segmentation of occlusion-aware rockfill material gradation detection
    Yike Hu, Jiajun Wang, Xiaoling Wang, Jia Yu, Jun Zhang · 2023 · Expert Systems with Applications
  49. Smart Industrial Safety using Computer Vision
    Rehan Bhana, Haitham Mahmoud, Moad Idrissi · 2023 · International Conference on Automation and Computing (ICAC)
  50. A Training-Free, Lightweight Global Image Descriptor for Long-Term Visual Place Recognition Toward Autonomous Vehicles
    Jiwei Nie, Joe-Mei Feng, Dingyü Xue, Feng Pan, Wei Liu, Jun da Hu, Shuai Cheng · 2023 · IEEE Transactions on Intelligent Transportation Systems
  51. Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
    Jingyi Zhang, Jiaxing Huang, Xueying Jiang, Shijian Lu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  52. Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains
    Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang · 2024 · IEEE Transactions on Multimedia
  53. MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
    Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  54. Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
    Tuo Feng, Wenguan Wang, Ruijie Quan, Yi Yang · 2024 · Lecture notes in computer science
  55. The Problem of Comparable GNSS Results – An Approach for a Uniform Dataset with Low-Cost and Reference Data
    Pierre Reisdorf, Tim Pfeifer, Julia Breßler, Sven Bauer, Peter Weissig, Sven Lange, Gerd Wanielik, Peter Protzel · 2016
  56. Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks
    Ekrem Emre Yurdakul, Y. Yemez · 2017 · IEEE International Conference on Computer Vision Workshops
  57. RAPID OBJECT DETECTION SYSTEMS, UTILISING DEEP LEARNING AND UNMANNED AERIAL SYSTEMS (UAS) FOR CIVIL ENGINEERING APPLICATIONS
    David Griffiths, Jan Boehm · 2018 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
  58. A synthetic dataset for Visual SLAM evaluation
    Senbo Wang, Jiguang Yue, Yanchao Dong, Shibo He, Haotian Wang, Shaochun Ning · 2019 · Robotics and Autonomous Systems
  59. Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation
    Tao Chen, Jian Zhang, Guo-Sen Xie, Yazhou Yao, Xiaoshui Huang, Zhenmin Tang · 2020 · IEEE International Conference on Multimedia and Expo (ICME)
  60. Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search
    Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP · 2020 · Lecture notes in computer science
  61. Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
    Kaihong Wang, Chenhongyi Yang, Margrit Betke · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  62. A Prototypical Knowledge Oriented Adaptation Framework for Semantic Segmentation
    Haitao Tian, Shiru Qu, Pierre Payeur · 2021 · IEEE Transactions on Image Processing
  63. CarFree: Hassle-Free Object Detection Dataset Generation Using Carla Autonomous Driving Simulator
    Jaesung Jang, Hyeongyu Lee, Jong-Chan Kim · 2021 · Applied Sciences
  64. Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation
    Jing Li, Kang Qu Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  65. Weather Classification by Utilizing Synthetic Data
    Saad Minhas, Zeba Khanam, Shoaib Ehsan, Klaus Dieter McDonald-Maier, Aura Hernández-Sabaté · 2022 · Sensors
  66. Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds.
    Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew C. Li, Andrew Lee, Jeffrey Mahler, Ken Y. Goldberg · 2018 · arXiv (Cornell University)
  67. Keep it Simple: Image Statistics Matching for Domain Adaptation
    Alexey Abramov, Christopher Bayer, Claudio Heller · 2020 · arXiv (Cornell University)
  68. Place recognition survey: An update on deep learning approaches
    Tiago Barros, Ricardo Pereira, Luís Garrote, Cristiano Premebida, Urbano Nunes · 2021 · arXiv (Cornell University)
  69. Delving Into the Secrets of BEV 3D Object Detection in Autonomous Driving: A Comprehensive Survey
    Haoyu Li, Yueran Zhao, Jiaru Zhong, Bo Wang, Chao Sun, Fengchun Sun · 2025 · IEEE Transactions on Intelligent Transportation Systems
  70. MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation
    Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei‐Lun Chao, Ser-Nam Lim · 2020
  71. Multi-Density Sketch-to-Image Translation Network
    Jialu Huang, Jing Liao, Zhifeng Tan, Sam Kwong · 2021 · IEEE Transactions on Multimedia
  72. CARLA Simulated Data for Rare Road Object Detection
    Tom Bu, Xinhe Zhang, Christoph Mertz, John M. Dolan · 2021 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  73. Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs
    Chenguang Zhu, Ripon K. Saha, Mukul R. Prasad, Sarfraz Khurshid D · 2021 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
  74. Enhancing and Dissecting Crowd Counting by Synthetic Data
    Yi Hou, Chengyang Li, Yuheng Lu, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  75. SEMKIS-DSL: A Domain-Specific Language to Support Requirements Engineering of Datasets and Neural Network Recognition
    Benjamin Jahić, Nicolas Guelfi, Benoît Ries · 2023 · Information
  76. Domain adaptive semantic segmentation by optimal transport
    Yaqian Guo, Xin Wang, Ce Li, Shihui Ying · 2023 · Fundamental Research
  77. Order-preserving Consistency Regularization for Domain Adaptation and Generalization
    Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  78. A Vision Check-up for Language Models
    Sharma, Pratyusha, Shaham, Tamar Rott, Baradad, Manel, Rodriíuez-Muñoz, Adrián, Duggal, Shivam, Isola, Phillip, Torralba, Antonio, Fu, Stephanie · 2024 · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  79. Point Cloud-Based Deep Learning in Industrial Production: A Survey
    Yi Liu, Changsheng Zhang, Xingjun Dong, Jiaxu Ning · 2025 · ACM Computing Surveys
  80. Exploring the effects of synthetic data generation: a case study on autonomous driving for semantic segmentation
    M.A.F.M. da Silva, Antonio Seoane, Omar A. Mures, Antonio Manuel López, José A. Iglesias-Guitián · 2025 · The Visual Computer
  81. Convolutional gated recurrent networks for video semantic segmentation in automated driving
    Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani · 2017 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  82. The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles
    Xuan Li, Yutong Wang, Kunfeng Wang, Lan Yan, Fei–Yue Wang · 2018 · IEEE Intelligent Vehicles Symposium
  83. q-Space Learning with Synthesized Training Data
    Chuyang Ye, Yue Cui, Xiuli Li · 2019 · Mathematics and visualization
  84. Large-Scale Synthetic Urban Dataset for Aerial Scene Understanding
    Qian Gao, Xukun Shen, Wensheng Niu · 2020 · IEEE Access
  85. Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision
    Min Yue, Guangyuan Fu, Ming Wu, Hongqiao Wang · 2020 · Journal of Intelligent & Robotic Systems
  86. Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications
    Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb‐Umbach · 2022 · IEEE Transactions on Vehicular Technology
  87. Learning from Synthetic Data: Enhancing Refraction Correction Accuracy for Airborne Image-Based Bathymetric Mapping of Shallow Coastal Waters
    Panagiotis Agrafiotis, Konstantinos G. Karantzalos, Andreas Georgopoulos, Dimitrios P. Skarlatos · 2021 · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science
  88. X-World: Accessibility, Vision, and Autonomy Meet
    Jimuyang Zhang, Minglan Zheng, Matthew Boyd, Eshed Ohn-Bar · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  89. Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation
    Xiaohong Zhang, Haofeng Zhang, Jianfeng Lu, Ling Shao, Jingyu Yang · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  90. Research Contribution and Comprehensive Review towards the Semantic Segmentation of Aerial Images Using Deep Learning Techniques
    Patel Hardik Anilkumar, P. Venugopal · 2022 · Security and Communication Networks
  91. Validation of Physics-Based Image Systems Simulation With 3-D Scenes
    Zheng Lyu, Thomas Goossens, Brian Arie Wandell, Joyce Farrell · 2022 · IEEE Sensors Journal
  92. Bolstering Maritime Object Detection with Synthetic Data
    Jonathan Becktor, Frederik E. T. Schöller, Evangelos Boukas, Mogens Blanke, Lazaros Nalpantidis · 2022 · IFAC-PapersOnLine
  93. A Dataset for Lane Instance Segmentation in Urban Environments
    Brook Roberts, Sebastian Kaltwang, Sina Samangooei, Mark Pender-Bare, Κωνσταντίνος Τερτίκας, John Redford · 2018 · Lecture notes in computer science
  94. Semantic Segmentation from Sparse Labeling Using Multi-Level Superpixels
    Íñigo Alonso, Ana C. Murillo · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  95. Synthetic-to-Real Domain Adaptation for Lane Detection
    Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi · 2021 · Lecture notes in computer science
  96. WVD: A New Synthetic Dataset for Video-Based Violence Detection
    Muhammad Shahroz Nadeem, Virginia N. L. Franqueira, Fatih Kurugöllü, Xiaojun Zhai · 2019 · Lecture notes in computer science
  97. Deterministic Guided LiDAR Depth Map Completion
    Bryan Krauss, Gregory Douglas Schroeder, Marko Gustke, Ahmed Hussein · 2021 · IEEE Intelligent Vehicles Symposium
  98. MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
    Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans · 2022 · Procedia CIRP
  99. Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers
    Peterlevitz, Augusto J., Chinelatto, Mateus A., Menezes, Angelo G., Motta, Cézanne A. M., Pereira, Guilherme A. B., Lopes, Gustavo L., Souza, Gustavo De M., Rodrigues, Juan, Godoy, Lilian C., Koller, Mario A. F. F. et al. · 2023 · IEEE Access
  100. Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
    Michaelis, Claudio, Mitzkus, Benjamin, Geirhos, Robert, Rusak, Evgenia, Bringmann, Oliver, Ecker, Alexander S., Bethge, Matthias, Brendel, Wieland · 2019 · arXiv