- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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| Citation: | CUI Hongtao, CAO Ke, ZHANG Hu, CUI Xiao. Weather Classification in Traffic Scene Based on Joint Voting Network[J]. Journal of Southwest Jiaotong University, 2021, 56(3): 579-586. doi: 10.3969/j.issn.0258-2724.20200084
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公安部交通管理局. 中华人民共和国道路交通事故统计年报（2010年度）[R]. 北京: 公安部交通管理局, 2011.
|
|
ROSER M, MOOSMANN F. Classification of weather situations onsingle color images[C]//2008 IEEE Intelligent Vehicles Symposium. Eindhoven: IEEE, 2008: 798-803.
|
|
YAN Xunshi, LUO Yupin, ZHENG Xiaoming. Weather recognition based on images captured by vision system in vehicle[C]//International Symposium on Neural Networks. Berlin, Heidelberg: Springer, 2009: 390-398.
|
|
GEIGER A, LAUER M, URTASUN R. A generative model for 3d urban scene understanding from movable platforms[C]//2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2011: 1945-1952.
|
|
ZHAO P, FANG T, XIAO J X, et al. Rectilinear parsing of architecture in urban environment[C]//2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 2010: 342-349.
|
|
LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110. doi: 10.1023/B:VISI.0000029664.99615.94
|
|
DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego: IEEE, 2005: 886-893
|
|
LECUN Y, BOTTOU L, BENGIO Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324. doi: 10.1109/5.726791
|
|
LU C, LIN D, JIA J, et al. Two-class weather classification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2014: 3718-3725.
|
|
KRIZHEVSKY A, SUTSKEVER I, HINTON G. ImageNet classification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems. [S.l.]: Curran Associates Inc, 2012: 1097-1105.
|
|
SZEGEDY C, LIU W, JIA Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2015: 1-9.
|
|
HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2016: 770-778.
|
|
HE K, ZHANG X, REN S, et al. Identity mappings in deep residual networks[C]//Proceedings of the European Conference on Computer Vision. Cham: Springer, 2016: 630-645.
|
|
ELHOSEINY M, HUANG S, ELGAMMAL A. Weather classification with deep convolutional neural networks[C]//IEEE International Conference on Image Processing. Piscataway: IEEE Press, 2015: 3349-3353
|
|
LIN D, LU C, HUANG H, et al. RSCM:region selection and concurrency model for multi-class weather recognition[J]. IEEE Transactions on Image Processing, 2017, 26(9): 4154-4167. doi: 10.1109/TIP.2017.2695883
|
|
YU F, KOLTUN V, FUNKHOUSER T. Dilated residual networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2017: 472-480.
|
|
JADERBERG M, VEDALDI A, ZISSERMAN A. Speeding up convolutional neural networks with low rank expansions[J/OL]. Computer Science, 2014, 1: 1-15[2020-03-06]. https://arxiv.org/abs/1405.3866.
|
|
CHOLLET F. Xception: deep learning with depthwise separable convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2017: 1251-1258.
|
|
HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE Press, 2018: 7132-7141.
|
|
WOO S, PARK J, LEE J Y, et al. Cbam: convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision. Cham: Springer, 2018: 3-19.
|
|
LI P, XIE J, WANG Q, et al. Is second-order information helpful for large-scale visual recognition?[C]//Proceedings of the IEEE International Conference on Computer Vision. Piscataway: IEEE Press, 2017: 2070-2078.
|
|
RUSSAKOVSKY O, DENG J, SU H, et al. Imagenet large scale visual recognition challenge[J]. International Journal of Computer Vision, 2015, 115(3): 211-252. doi: 10.1007/s11263-015-0816-y
|
|
SELVARAJU R R, COGSWELL M, DAS A, et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[C]//Proceedings of the IEEE International Conference on Computer Vision. Piscataway: IEEE Press, 2017: 618-626.
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