Invariant Feature-Based Dynamic Scene Classification Using the Optimized Convolution Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8763-1_8
Reference8 articles.
1. Huang Y, Cao X, Wang Q, Zhang B, Zhen X, Li X (2018) Long-short-term features for dynamic scene classification. IEEE Trans Circ Syst Video Technol 29(4):1038–1047
2. Otter DW, Medina JR, Kalita JK (2018) A survey of the usages of deep learning in natural language processing. arXiv preprint arXiv: 1807.10854
3. Tong Z, Shi D, Yan B, Wei J (2017, June) A review of indoor-outdoor scene classification. In: 2017 2nd international conference on control, automation and artificial intelligence (CAAI 2017). Atlantis Press
4. Xia GS, Hu J, Hu F, Shi B, Bai X, Zhong Y, Lu X et al (2017) AID: a benchmark data set for performance evaluation of aerial scene classification. IEEE Trans Geosci Remote Sens 55(7):3965–3981
5. Shahriari M, Bergevin R (2016) A two-stage outdoor-indoor scene classification framework: experimental study for the outdoor stage. In: 2016 international conference on digital image computing: techniques and applications (DICTA). IEEE, pp 1–8
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