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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    Seong‐heum Kim, Youngbae Hwang · 2021 · Electronics
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  50. Going Beyond Nouns With Vision & Language Models Using Synthetic Data
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  52. Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
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  56. The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
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  57. Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data
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  59. Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
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  61. TeST: Test-time Self-Training under Distribution Shift
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  66. Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation
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  67. In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
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  68. How Many Labeled License Plates Are Needed?
    Changhao Wu, Shugong Xu, Guocong Song, Shunqing Zhang · 2018 · Lecture notes in computer science
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  70. An unsupervised approach to geographical knowledge discovery using street level and street network images
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  72. A scenario generation pipeline for autonomous vehicle simulators
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  73. Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation
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  74. Exploring more concentrated and consistent activation regions for cross-domain semantic segmentation
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  75. Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization
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  76. Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning
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  77. Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.
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  78. Explainability of vision-based autonomous driving systems: Review and challenges.
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  79. Panoptic Segmentation: A Review
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  80. I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation
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  81. Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey
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  82. MarsScapes and UDAFormer: A Panorama Dataset and a Transformer-Based Unsupervised Domain Adaptation Framework for Martian Terrain Segmentation
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  83. Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
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  84. Towards synthesized training data for semantic segmentation of mobile laser scanning point clouds: Generating level crossings from real and synthetic point cloud samples
    Gustaf Uggla, Milan Horemuž · 2021 · Automation in Construction
  85. Intensity-Aware Single-Image Deraining With Semantic and Color Regularization
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  86. Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images
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  87. Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
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  88. FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
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  89. Deep Learning for Traffic Scene Understanding: A Review
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  90. Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network
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  92. A New Dataset and Performance Evaluation of a Region-Based CNN for Urban Object Detection
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  93. Semiautomatic Labeling for Deep Learning in Robotics
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  94. NeurAll: Towards a Unified Visual Perception Model for Automated Driving
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  95. Do Game Data Generalize Well for Remote Sensing Image Segmentation?
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  96. Unsupervised Domain Adaptation in the Wild via Disentangling Representation Learning
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  97. Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences
    Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang · 2021 · IEEE Transactions on Instrumentation and Measurement
  98. Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
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  99. Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
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  100. SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles
    Weihao Yan, Yeqiang Qian, Hanyang Zhuang, Chunxiang Wang, Ming Zhu Yang · 2023 · IEEE Transactions on Intelligent Vehicles