[4] Bay H. Tuytelaars T, van Gool L. SURF: speeded up robust features[M]. //Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006. Lecture notes in computer science. Berlin Heidelberg: Springer, 3951, 404-417(2006).
[5] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF. [C]//2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 2564-2571(2011).
[7] Mur-Artal R. Montiel J M M, Tardós J D. ORB-SLAM: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 31, 1147-1163(2015).
[9] Liu Y, Zhang H. Visual loop closure detection with a compact image descriptor. [C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 7-12, 2012, Vilamoura, Portugal. New York: IEEE, 1051-1056(2012).
[10] Hou Y, Zhang H, Zhou S L. Convolutional neural network-based image representation for visual loop closure detection. [C]//2015 IEEE International Conference on Information and Automation, August 8-10, 2015, Lijiang, China. New York: IEEE, 2238-2245(2015).
[11] Zhou B L, Lapedriza A, Xiao J X et al. Learning deep features for scene recognition using places database[C]//Proceedings of the 27th International Conference on Neural Information Processing Systems, December 8-13, 2014, Montreal, Canada., 487-495(2014).
[12] Sünderhauf N, Shirazi S, Dayoub F et al. On the performance of ConvNet features for place recognition. [C]//2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28-October 2, 2015, Hamburg, Germany. New York: IEEE, 4297-4304(2015).
[13] Gao X, Zhang T. Loop closure detection for visual SLAM systems using deep neural networks. [C]//2015 34th Chinese Control Conference (CCC), July 28-30, 2015, Hangzhou, China. New York: IEEE, 5851-5856(2015).
[18] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 6517-6525(2017).
[20] Glorot X, Bordes A, Bengio Y. Deep sparse rectifier neural networks. [C]//14th International Conference on Artificial Intelligence and Statistics, April 11-13, 2011, Fort Lauderdale, USA. Cambridge: PMLR, 15, 315-323(2011).
[21] He K M, Sun J. Convolutional neural networks at constrained time cost. [C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5353-5360(2015).