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Daimler Pedestrian Segmentation Benchmark Dataset
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F. Flohr and D. M. Gavrila.
PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues. Proc. of the British Machine Vision Conference, Bristol, UK, 2013.
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Daimler Pedestrian Path Prediction Benchmark Dataset (GCPR’13)
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N. Schneider and D. M. Gavrila.
Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study.
In Lecture Notes in Computer Science: Proc. of the German Conference on Pattern Recognition (GCPR), vol. 8142, Springer, 2013.
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Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark Dataset
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M. Enzweiler, A. Eigenstetter, B. Schiele and D. M. Gavrila,
Multi-Cue Pedestrian Classification with Partial Occlusion Handling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
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Daimler Stereo Pedestrian Detection Benchmark Dataset
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C. Keller, M. Enzweiler, and D. M. Gavrila,
A New Benchmark for Stereo-based Pedestrian Detection,
Proc. of the IEEE Intelligent Vehicles Symposium, Baden-Baden, Germany, 2011.
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Daimler Mono Pedestrian Detection Benchmark Dataset
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M. Enzweiler and D. M. Gavrila.
Monocular Pedestrian Detection: Survey and Experiments
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.31, no.12, pp.2179-2195, 2009.
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Daimler Mono Pedestrian Classification Benchmark Dataset
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S. Munder and D. M. Gavrila.
An Experimental Study on Pedestrian Classification.
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 28, no. 11, pp.1863-1868, Nov. 2006.
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Daimler Pedestrian Path Prediction Benchmark Dataset (ECCV’14)
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J. F. P. Kooij, N. Schneider, F. Flohr and D. M. Gavrila.
Context-based Pedestrian Path Prediction.
Proc. of the European Conference on Computer Vision, Part VI, LNCS, pp.618-633, Springer, 2014.
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Tsinghua-Daimler Cyclist Detection Benchmark Dataset  |
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X. Li, F. Flohr, Y. Yang, H. Xiong, M. Braun, S. Pan, K. Li and D. M. Gavrila.
A New Benchmark for Vision-Based Cyclist Detection.
In Proc. of the IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, pp.1028-1033, 2016.
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