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Driving datasets accelerate the development of intelligent driving and related computer vision technologies, while substantial and detailed annotations serve as fuels and powers to boost the efficacy of such datasets to improve learning-based models.
Segmentation and recognition using structure from motion point clouds
G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla · 2008
Earlier work this paper cites.
A mobile vision system for robust multi-person tracking
A. Ess, B. Leibe, K. Schindler, and L. Van Gool · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Pedestrian detection: A benchmark
P. Dollár, C. Wojek, B. Schiele, and P. Perona · 2009
Earlier work this paper cites.
Monocular pedestrian detection: Survey and experiments
M. Enzweiler and D. M. Gavrila · 2009
Earlier work this paper cites.
Multi-cue onboard pedestrian detection
C. Wojek, S. Walk, and B. Schiele · 2009
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
A system for real-time detection and tracking of vehicles from a single car-mounted camera
C. Caraffi, T. Vojíř, J. Trefnỳ, J. Šochman, and J. Matas · 2012
Cited alongside, same era.
Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
Cited alongside, same era.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
The mapillary vistas dataset for semantic understanding of street scenes
G. Neuhold, T. Ollmann, S. Rota Bulo, and P. Kontschieder · 2017
Cited alongside, same era.
Nexar challenge ii, vehicle detection in the wild using the nexet dataset
The apolloscape dataset for autonomous driving
X. Huang, X. Cheng, Q. Geng, B. Cao, D. Zhou, P. Wang, Y. Lin, and R. Yang · 2018
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A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, T. Duerig, et al · 2018
Later among the works it cites.
Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
Later among the works it cites.
Learning better features for face detection with feature fusion and segmentation supervision
W. Tian, Z. Wang, H. Shen, W. Deng, B. Chen, and X. Zhang · 2018
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Bdd100k: A diverse driving video database with scalable annotation tooling
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Nexar · 2017
Cited alongside, same era.
Efficiently scaling up crowdsourced video annotation
C. Vondrick, D. Patterson, and D. Ramanan
Cited in the paper.
F. Yu, W. Xian, Y. Chen, F. Liu, M. Liao, V. Madhavan, and T. Darrell · 2018
Later among the works it cites.
nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2019
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