[2] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. [C]∥25th International Conference on Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada. New York: ACM, 1097-1105(2012).
[3] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).
[4] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).
[5] Canny J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698(1986).
[6] Rosten E, Porter R, Drummond T. Faster and better: a machine learning approach to corner detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 105-119(2010).
[8] Dalal N, Triggs B. Histograms of oriented gradients for human detection. [C]∥2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 20-25, 2005, San Diego, CA, USA. New York: IEEE, 886-893(2005).
[9] Felzenszwalb P F, Girshick R B. McAllester D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 1627-1645(2010).
[10] Yan J J, Zhang X C, Lei Z et al. Robust multi-resolution pedestrian detection in traffic scenes. [C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 3033-3040(2013).
[12] Andriluka M, Iqbal U, Insafutdinov E et al. Pose Track: a benchmark for human pose estimation and tracking. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 5167-5176(2018).
[13] Huang K Q, Ren W Q, Tan T N. A review on image object classification and detection[J]. Chinese Journal of Computers, 37, 1225-1240(2014).
[15] Feng Z Z, Yang M, Zhang L et al. Joint discriminative dimensionality reduction and dictionary learning for face recognition[J]. Pattern Recognition, 46, 2134-2143(2013).
[19] Ramirez I, Sprechmann P, Sapiro G. Classification and clustering via dictionary learning with structured incoherence and shared features. [C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA. New York: IEEE, 3501-3508(2010).
[21] Gu S H, Zhang L, Zuo W M et al. Projective dictionary pair learning for pattern classification. [C]∥27th International Conference on Neural Information Processing Systems, December 8-13, 2014, Montreal, Canada. Canada: NIPS, 793-801(2014).
[23] Mesiar R. Fuzzy measures and integrals[J]. Fuzzy Sets and Systems, 156, 365-370(2005).
[24] Wang K Z, Lin L, Zuo W M et al. Dictionary pair classifier driven convolutional neural networks for object detection. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2138-2146(2016).
[26] Cun Y L, Boser B, Denker J S et al. Handwritten digit recognition with a back-propagation network[M]. ∥Touretzky D S. Advances in neural information processing systems 2. San Francisco: Morgan Kaufmann Publishers Inc., 396-404(1989).