Corpus ID: 24251191

The Cityscapes Dataset

  title={The Cityscapes Dataset},
  author={Marius Cordts and Mohamed Omran and Sebastian Ramos and Timo Scharw{\"a}chter and M. Enzweiler and Rodrigo Benenson and Uwe Franke and S. Roth and B. Schiele},
  booktitle={CVPR 2015},
  • Marius Cordts, Mohamed Omran, +6 authors B. Schiele
  • Published in CVPR 2015
  • Computer Science
  • Semantic understanding of urban street scenes through visual perception has been widely studied due to many possible practical applications. Key challenges arise from the high visual complexity of such scenes. In this paper, we present ongoing work on a new large-scale dataset for (1) assessing the performance of vision algorithms for different tasks of semantic urban scene understanding, including scene labeling, instance-level scene labeling, and object detection; (2) supporting research that… CONTINUE READING
    122 Citations
    Semantic Understanding of Scenes Through the ADE20K Dataset
    • 392
    • PDF
    The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
    • 918
    • PDF
    A New Dataset and Performance Evaluation of a Region-based CNN for Urban Object Detection
    • 5
    • PDF
    Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
    • 9
    • Highly Influenced
    • PDF
    Scene Parsing through ADE20K Dataset
    • 722
    • PDF
    Fast and Robust RGB-D Scene Labeling for Autonomous Driving
    • 4
    • PDF
    Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
    • 36
    • Highly Influenced
    • PDF


    3D Traffic Scene Understanding From Movable Platforms
    • 333
    • PDF
    Guest Editorial: Scene Understanding
    • 13
    • PDF
    Semantic object classes in video: A high-definition ground truth database
    • 681
    • PDF
    The Role of Context for Object Detection and Semantic Segmentation in the Wild
    • 684
    • PDF
    Microsoft COCO: Common Objects in Context
    • 12,121
    • PDF
    Pedestrian Detection: An Evaluation of the State of the Art
    • 2,455
    • PDF
    Simultaneous Detection and Segmentation
    • 898
    • PDF
    Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes
    • 95