[1] CHAVALI N, AGRAWAL H, MAHENDRU A, et al. Object-proposal evaluation protocol is gameable[C]// Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. 2016:835-844.
[2] 丁小可. 基于深度学习的目标检测算法研究[J/OL]. 机电信息, 2018(33):154-155[2018-11-25]. http://www.cnki.com.cn/Article/CJFDTotal-JDXX2018112202G.htm.
[3] DAI J F, HE K M, SUN J. Convolutional feature masking for joint object and stuff segmentation[C]// Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. 2015:3992-4000.
[4] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(6):1137-1149.
[5] HOSANG J, BENENSON R, Dollár P, et al. What makes for effective detection proposals?[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016,38(4):814-830.
[6] PINHEIRO P O, COLLOBERT R, Dollár P. Learning to segment object candidates[C]// Proceedings of the 28th International Conference on Neural Information Processing Systems. 2015:1990-1998.
[7] LIU W, ANGUELOV D, ERHAN D, et al. Ssd: Single shot multibox detector[C]// European Conference on Computer Vision. 2016:21-37.
[8] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]// Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. 2016:779-788.
[9] LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(4):640-651.
[10]UIJLINGS J R R, SANDE K E A V D, GEVERS T, et al. Selective search for object recognition[J]. International Journal of Computer Vision, 2013,104(2):154-171.
[11]HARIHARAN B, ARBELEz P, GIRSHICK R, et al. Simultaneous detection and segmentation[C]// European Conference on Computer Vision. 2014:297-312.
[12]ERHAN D, SZEGEDY C, TOSHEV A, et al. Scalable object detection using deep neural networks[C]// Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. 2014:2147-2154.
[13]KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]// Proceedings of the 25th International Conference on Neural Information Processing Systems. 2012:1097-1105.
[14]曹靖康,段江永,孟娟. 基于深度特征融合的空间植物图像分割算法[J]. 计算机与现代化, 2018(10):58-62.
[15]DAI J F, LI Y, HE K M, et al. R-FCN: Object detection via region-based fully convolutional networks[J]. Computer Vision and Pattern Recognition, arxiv:1605.06409, 2016.
[16]CHENG M M, WARRELL J, LIN W Y, et al. Efficient salient region detection with soft image abstraction[C]// 2013 IEEE International Conference on Computer Vision. 2013:1529-1536.
[17]GIRSHICK R. Fast R-CNN[J]. Computer Science, arxiv:1504.08083, 2015.
[18]HE K M, ZHANG X Y, REN S Q, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[C]// European Conference on Computer Vision-ECCV 2014. 2014:346-361.
[19]郭少军,沈同圣,徐健,等. 基于ObjectNess BING的海面多舰船目标检测[J]. 系统工程与电子技术, 2016,38(1):14-20.
[20]RANTALANKILA P, KANNALA J, RAHTU E. Generating object segmentation proposals using global and local search[C]// 2014 IEEE Conference on Computer Vision and Pattern Recognition. 2014:2417-2424.
[21]ENDRES I, HOIEM D. Category-independent object proposals with diverse ranking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014,36(2):222-234.
[22]ZHANG Z M, WARRELL J, TORR P H S. Proposal generation for object detection using cascaded ranking SVMs[C]// 2011 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). 2011:1497-1504.
[23]GANIN Y, LEMPITSKY V. N4-fields: Neural network nearest neighbor fields for image transforms[C]// Asian Conference on Computer Vision. 2014:536-551.
[24]RAHTU E, KANNALA J, BLASCHKO M. Learning a category independent object detection cascade[C]// 2011 IEEE International Conference on Computer Vision(ICCV). 2011:1052-1059.
[25]EVERINGHAM M, GOOL L V, WILLIAMS C K I, et al. The Pascal visual object classes(VOC) challenge[J]. International Journal of Computer Vision, 2010,88(2):303-338. |