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)

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Items 301–400 of 1,001

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  44. SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
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  59. Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
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  64. Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
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  65. Spectral Unsupervised Domain Adaptation for Visual Recognition
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  66. A deep Coarse-to-Fine network for head pose estimation from synthetic data
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  67. Efficient Road Lane Marking Detection with Deep Learning
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  68. Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
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  69. Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility
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  70. Small Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation
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  71. Deep learning‐based bolt loosening detection for wind turbine towers
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  72. Deep Depth Completion from Extremely Sparse Data: A Survey
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  73. Pin the Memory: Learning to Generalize Semantic Segmentation
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  74. Unity Perception: Generate Synthetic Data for Computer Vision
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  78. CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition
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  79. Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities
    Ruihao Li, Sen Wang, Dongbing Gu · 2018 · Cognitive Computation
  80. Learning Multi-Class Segmentations From Single-Class Datasets
    Konstantin Dmitriev, Arie E. Kaufman · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  81. Uncertainty-guided Model Generalization to Unseen Domains
    Fengchun Qiao, Xi Peng · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  82. SPIGAN: Privileged Adversarial Learning from Simulation
    Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon · 2018 · arXiv (Cornell University)
  83. CoralSeg: Learning coral segmentation from sparse annotations
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  84. Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
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  85. RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
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  86. AirSim-W
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  87. Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
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  88. Real-Time Semantic Image Segmentation with Deep Learning for Autonomous Driving: A Survey
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  89. Deep learning serves traffic safety analysis: A forward‐looking review
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  90. Biometric identification of dairy cows via real-time facial recognition
    Niclas Bergman, Yitzhak Yitzhaky B, I. Halachmi · 2024 · animal
  91. A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
    Mans Larsson, Mans, Stenborg, Erik, Hammarstrand, Lars, Pollefeys, Marc, Sattler, Torsten, Kahl, Fredrik · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  92. Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
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  93. HWNet v2: an efficient word image representation for handwritten documents
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  94. Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
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  95. Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
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  96. Weak supervision for generating pixel–level annotations in scene text segmentation
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  97. A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving
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  98. 3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks
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  100. Deep transfer learning for intelligent vehicle perception: A survey
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