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While several datasets for autonomous navigation have become available in recent years, they tend to focus on structured driving environments.
Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
Earlier work this paper cites.
Dynamic 3d scene analysis from a moving vehicle
B. Leibe, N. Cornelis, K. Cornelis, and L. V. Gool · 2007
Earlier work this paper cites.
Semantic object classes in video: A high-definition ground truth database
G. J. Brostow, J. Fauqueur, and R. Cipolla · 2008
Earlier work this paper cites.
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.
Practical search techniques in path planning for autonomous driving
D. Dolgov, S. Thrun, M. Montemerlo, and J. Diebel · 2008
Earlier work this paper cites.
Sun database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba · 2010
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
Earlier work this paper cites.
Efficient multi-cue scene segmentation
T. Scharwächter, M. Enzweiler, U. Franke, and S. Roth · 2013
Earlier work this paper cites.
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
Earlier work this paper cites.
Context driven scene parsing with attention to rare classes
J. Yang, B. Price, S. Cohen, and M. Yang · 2014
Earlier work this paper cites.
Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
Cited alongside, same era.
Guest editorial: Scene understanding
D. Hoiem, J. Hays, J. Xiao, and A. Khosla · 2015
Cited alongside, same era.
Object scene flow for autonomous vehicles
M. Menze and A. Geiger · 2015
Cited alongside, same era.
Visual domain adaptation: A survey of recent advances
V. M. Patel, R. Gopalan, R. Li, and R. Chellappa · 2015
Cited alongside, same era.
Sun rgb-d: A rgb-d scene understanding benchmark suite
S. Song, S. Lichtenberg, and J. Xiao · 2015
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.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Later among the works it cites.
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
Later among the works it cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
L. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
Closest in time.
The apolloscape dataset for autonomous driving
X. Huang, X. Cheng, Q. Geng, B. Cao, D. Zhou, P. Wang, Y. Lin, and R. Yang · 2018
Closest in time.
Autonomous navigation in unconstrained environments (AutoNUE) workshop and challenge at ECCV’18
C. Jawahar, A. Subramanian, A. Namboodiri, M. Chandrakar, and S. Ramalingam · 2018
Closest in time.
Path aggregation network for instance segmentation
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One-shot video object segmentation
S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool · 2017
Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
The mapillary vistas dataset for semantic understanding of street scenes
G. Neuhold, T. Ollmann, S. R. Bulò, and P. Kontschieder · 2017
Cited alongside, same era.
Dilated residual networks
F. Yu, V. Koltun, and T. Funkhouser · 2017
Cited alongside, same era.
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
Closest in time.
Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
E. Romera, J. M. Alvarez, L. M. Bergasa, and R. Arroyo · 2018
Closest in time.
In-place activated batchnorm for memory-optimized training of dnns
S. Rota Bulò, L. Porzi, and P. Kontschieder · 2018
Closest in time.
Bdd100k: A diverse driving video database with scalable annotation tooling, 2018
F. Yu, W. Xian, Y. Chen, F. Liu, M. Liao, V. Madhavan, and T. Darrell · 2018
Closest in time.