[1] |
张荣, 李伟平, 莫同, 等. 深度学习研究综述[J]. 信息与控制, 2018, 47(4): 385-397,410.
|
|
Zhang Rong, Li Weiping, Mo Tong, et al. Review of Deep Learning[J]. Information and Control, 2018, 47(4): 385-397,410.
|
[2] |
侯志强, 戴铂, 胡丹, 等. 基于感知深度神经网络的视觉跟踪[J]. 电子与信息学报, 2016, 38(7): 1616-1623.
|
|
Hou Zhiqiang, Dai Bo, Hu Dan, et al. Robust Visual Tracking via Perceptive Deep Neural Network[J]. Jounal of Electronics & Information Technology, 2016, 38(7): 1616-1623.
|
[3] |
李大湘, 张振. 基于改进U-Net视网膜血管图像分割算法[J]. 光学学报, 2020, 40(10): 58-66.
|
|
Li Daxiang, Zhang Zhen. Improved U-Net Segmentation Algorithm for the Retinal Blood Vessel Images[J]. Acta Optica Sinica, 2020, 40(10): 58-66.
|
[4] |
郭智, 宋萍, 张义, 等. 基于深度卷积神经网络的遥感图像飞机目标检测方法[J]. 电子与信息学报, 2018, 40(11): 2684-2690.
|
|
Guo Zhi, Song Ping, Zhang Yi, et al. Aircraft Detection Method Based on Deep Convolutional Neural Network for Remote Sensing Images[J]. Jounal of Electronics &Information Technology, 2018, 40(11): 2684-2690.
|
[5] |
Tao R, Gavves E, Smeulders A W M. Siamese Instance Search for Tracking[C]// IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA: IEEE, 2016: 1420-1429.
|
[6] |
Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional Siamese Networks for Object Tracking[C]// European Conference on Computer Vision.Amsterdam, Netherlands: Springer, 2016: 850-865.
|
[7] |
Li B, Yan J, Wu W, et al. High Performance Visual Tracking with Siamese Region Proposal Network[C]//IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE, 2018: 8971-8980.
|
[8] |
Ren S, He K, 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 (S0162-8828), 2016, 39(6): 1137-1149.
|
[9] |
Guo Q, Feng W, Zhou C, et al. Learning Dynamic Siamese Network for Visual Object Tracking[C]// IEEE International Conference on Computer Vision. Venice, Italy: IEEE, 2017: 1763-1771.
|
[10] |
Zhu Z, Wang Q, Li B, et al. Distractor-Aware Siamese Networks for Visual Object Tracking[C]// European Conference on Computer Vision(ECCV). Munich, Germany: Springer, 2018: 101-117.
|
[11] |
Yu J, Jiang Y, Wang Z, et al. Unitbox: An Advanced Object Detection Network[C]// 24th ACM International Conference on Multimedia. Amsterdam, Netherlands:ArXiv e-prints, 2016: 516-520.
|
[12] |
Rezatofighi H, Tsoi N, Gwak J Y, et al. General-lzed Intersection Over Union: A Metric and a Loss for Bounding Box Regression[C]// IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE, 2019: 658-666.
|
[13] |
Wu Y, Lim J, Yang M H. Online Object Tracking: A Benchmark[C]// IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA: IEEE, 2013: 2411-2418.
|
[14] |
Wu Y, Lim J, Yang M H. Object Tracking Benchmark[J].IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2015, 37(9): 1834-1848.
|
[15] |
Krizhevsky A, Sutskever I, Hinton G E. Imagenet Classification with Deep Convolutional Neural Networks[J]. Communications of the ACM (S0001-0782), 2017, 60(6): 84-90.
|
[16] |
Tychsen-Smith L, Petersson L. Improving Object Localization with Fitness Nms and Bounded Iou Loss[C]// IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE, 2018: 6877-6885.
|
[17] |
Li B, Wu W, Wang Q, et al. Siamrpn++: Evolution of Siamese Visual Tracking with Very Deep Net-Works[C]// IEEE Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE, 2019: 4282-4291.
|
[18] |
Zheng Z, Wang P, Liu W, et al. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression[C]//AAAI Conference on Artificial Intelligence. New York, USA: ArXiv e-prints, 2020: 12993-13000.
|
[19] |
Huang L, Zhao X, Huang K. Got-10k: A Large High-diversity Benchmark for Generic Object Tracking in the Wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2019, 43(5): 1562-1577.
|
[20] |
Real E, Shlens J, Mazzocchi S, et al. Youtube-Boundingboxes: A Large High-precision Human-Annotated Data Set for Object Detection in Video[C]// IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE, 2017: 5296-5305.
|
[21] |
Bertinetto L, Valmadre J, Golodetz S, et al. Staple: Complementary Learners for Real-time Tracking[C]//IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA: IEEE, 2016: 1401-1409.
|
[22] |
Henriques J F, Caseiro R, Martins P, et al. High-speed Tracking with Kernelized Correlation Filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2014, 37(3): 583-596.
|
[23] |
Lukezic A, Vojir T, Zajc L C, et al. Discriminative Correlation Filter with Channel and Spatial Reliability[C]// IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE, 2017: 6309-6318.
|
[24] |
Li F, Tian C, Zuo W, et al. Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking[C]//IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE, 2018: 4904-4913.
|