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)

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  72. Deep learning features exception for cross-season visual place recognition
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  74. The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications
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  77. UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision.
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  78. Semantic Image Segmentation for Autonomous Driving Using Fully Convolutional Networks
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  79. Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions
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  81. Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning
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  85. Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation
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  87. CARINA Project: Visual Perception Systems Applied for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)
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  88. Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
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  89. Crots: Cross-Domain Teacher–Student Learning for Source-Free Domain Adaptive Semantic Segmentation
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  90. Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation
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  91. The Reasonable Effectiveness of Synthetic Visual Data
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  92. Don’t Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation
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  93. Unsupervised Learning of Depth and Ego-Motion From Cylindrical Panoramic Video
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  94. Panoramic Image Generation: From 2-D Sketch to Spherical Image
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  96. HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
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  97. Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation
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  98. Multimodal Mobile Robotic Dataset for a Typical Mediterranean Greenhouse: The GREENBOT Dataset
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  99. Concept-guided domain generalization for semantic segmentation
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  100. Adversarially Tuned Scene Generation
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