WildDash - Creating Hazard-Aware Benchmarks
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Oliver Zendel | Markus Murschitz | Katrin Honauer | Daniel Steininger | Gustavo Fernández Domínguez | Daniel Steininger | Markus Murschitz | O. Zendel | G. F. Domínguez | Katrin Honauer
[1] Stefan Roth,et al. Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding , 2014, ECCV.
[2] Roberto Cipolla,et al. Segmentation and Recognition Using Structure from Motion Point Clouds , 2008, ECCV.
[3] Sebastian Ramos,et al. The Cityscapes Dataset , 2015, CVPR 2015.
[4] Qiao Wang,et al. VirtualWorlds as Proxy for Multi-object Tracking Analysis , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Vladlen Koltun,et al. Playing for Benchmarks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[7] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[9] Oliver Zendel,et al. CV-HAZOP: Introducing Test Data Validation for Computer Vision , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Marc Pollefeys,et al. Slanted Stixels: Representing San Francisco's Steepest Streets , 2017, BMVC.
[11] Thomas A. Funkhouser,et al. Dilated Residual Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Oliver Zendel,et al. Analyzing Computer Vision Data — The Good, the Bad and the Ugly , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Antonio M. López,et al. The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] James J. Little,et al. The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night , 2017, IEEE Robotics and Automation Letters.