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 601–700 of 1,001
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- Multi-modal unsupervised domain adaptation for semantic image segmentationSijie Hu, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé A · 2023 · Pattern Recognition
- TeST: Test-time Self-Training under Distribution ShiftSamarth Sinha, Peter Gehler, Francesco Locatello, B. Schiele · 2022 · IEEE Workshop/Winter Conference on Applications of Computer Vision
- A Deep Learning Approach to Bacterial Colony SegmentationPaolo Andreini, Simone Bonechi, Monica Bianchini, A. Mecocci, Franco Scarselli · 2018 · Lecture notes in computer science
- Adversarial Generation of Training Examples: Applications to Moving Vehicle License Plate RecognitionXinlong Wang, Zhipeng Man, Mingyu You, Chunhua Shen · 2017 · arXiv (Cornell University)
- Learning Shape-Invariant Representation for Generalizable Semantic SegmentationYuhang Zhang, Shishun Tian, Muxin Liao, Guoguang Hua, Wenbin Zou, Chen Guang Xu · 2023 · IEEE Transactions on Image Processing
- PDA: Progressive Domain Adaptation for Semantic SegmentationMuxin Liao, Shishun Tian, Yuhang Zhang, Guoguang Hua, Wenbin Zou, Xia Li · 2023 · Knowledge-Based Systems
- Learning Spectral-Decomposited Tokens for Domain Generalized Semantic SegmentationJingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng · 2024 · ACM International Conference on Multimedia (ACM MM)
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- Spherical Criteria for Fast and Accurate 360° Object DetectionPengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- A scenario generation pipeline for autonomous vehicle simulatorsMingyun Wen, Jisun Park, Kyungeun Cho · 2020 · Human-centric Computing and Information Sciences
- Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum AdaptationFengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
- Exploring more concentrated and consistent activation regions for cross-domain semantic segmentationMuxin Liao, Guoguang Hua, Shishun Tian, Yuhang Zhang, Wenbin Zou, Xia Li · 2022 · Neurocomputing
- Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency RegularizationQianyu Zhou, Chuyun Zhuang, Ran Yi, Xuequan Lu, Lizhuang Ma · 2022 · IEEE International Conference on Multimedia and Expo (ICME)
- Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive LearningAnurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.Jin Fang, Feilong Yan, Tongtong Zhao, Feihu Zhang, Dingfu Zhou, Ruigang Yang, Yu Ma, Liang Wang · 2018 · arXiv (Cornell University)
- Explainability of vision-based autonomous driving systems: Review and challenges.Éloi Zablocki, Hedi Ben-younes, Patrick Pérez, Matthieu Cord · 2021 · arXiv (Cornell University)
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- Deep Learning for Traffic Scene Understanding: A ReviewParya Dolatyabi, Jacob Regan, Mahdi Khodayar · 2025 · IEEE Access
- Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural NetworkKhaled Saleh, Mohammed Hossny, Saeid Nahavandi · 2016 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
- Symbolic road marking recognition using convolutional neural networksTouqeer Ahmad, David Ilstrup, Ebrahim Emami, George N. Bebis · 2017 · IEEE Intelligent Vehicles Symposium
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- Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud SequencesGuangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang · 2021 · IEEE Transactions on Instrumentation and Measurement
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- SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent VehiclesWeihao Yan, Yeqiang Qian, Hanyang Zhuang, Chunxiang Wang, Ming Zhu Yang · 2023 · IEEE Transactions on Intelligent Vehicles