Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 118-121.doi: 10.11896/jsjkx.200700122
• Image Processing & Multimedia Technology • Previous Articles Next Articles
YU Han-qing, YANG Zhen, YIN Zhi-jian
CLC Number:
[1] 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 & Machince Intelligence,2017,39(6):1137-1149. [2] CHEN C,QI F.The development of convolutional neuralnet-work and its application in the field of computer vision[J].Computer Science,2019,46(3):69-79. [3] REDMON J,DIVVALA S,GIRSHICK R,et al.You Only Look Once:Unified,Real-Time Object Detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2016:779-788. [4] REDMON J,FARHADI A.YOLO9000:Better,Faster,Stronger[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2017. [5] REDMON J,FARHADI A.YOLOv3:An Incremental Improvement[J].arXiv:1804.02767,2018. [6] BOCHKOVSKIY A,WANG C Y,LIAO H Y M.YOLOv4:Op-timal Speed and Accuracy of Object Detection[J].arXiv:2004.10934,2020. [7] LIU Z H.Structural model learning based on local feat-ures and its application in target detection and location[D].Shanghai:Shanghai Jiaotong University,2012. [8] DAI J F,HE K M,SUN J.Instance-aware semantic segmentation via multi-task network cascades[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2016:3150-3158. [9] HARIHARAN B,ARBELAEZ P,GIRSHICK R,et al.Simultaneous detection and segmentation[C]//European Conferenc on Computer Vision.Springer,2014:297-312. [10] GIDARIS S,KOMODAKIS N.Object detection via a multi-region and semantic segmentation-aware cnn model[C]//Procee-dings of the IEEE International Conference on Computer Vision.2015:1134-1142. [11] ZHANG Z S,QIAO S Y,XIE C H,et al.Single-shot object detection with enriched semantics[R].Technical report,Center for Brains,Minds and Machines (CBMM),2018. [12] HE P,HUANG W L,HE T,et al.Single Shot Text Detector with Regional Attention[C]//2017 IEEE International Conference on Computer Vision(ICCV).IEEE,2017. [13] DERAKHSHANI M M,MASOUDNIA S,SHAKER A H,et al.Assisted Excitation of Activations:A Learning Technique to Improve Object Detectors[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).IEEE,2020. [14] HE T,ZHANG Z,ZHANG H,et al.Bag of Tricks for ImageClassification with Convolutional Neural Networks[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).IEEE,2019. [15] EVERINGHAM M,VAN GOOL L,WILLIAMS C K,et al.The pascal visual object classes (voc) challenge[J].International Journal of Computer Vision,2010,88(2):303-338. [16] BENGIO Y S,LOURADOUR J,COLLOBERT R,et al.Curriculum learning[C]//Proceedings of the 26th Annual International Conference on Machine Learning.ACM,2009:41-48. |
[1] | SUN Jie-qi, LI Ya-feng, ZHANG Wen-bo, LIU Peng-hui. Dual-field Feature Fusion Deep Convolutional Neural Network Based on Discrete Wavelet Transformation [J]. Computer Science, 2022, 49(6A): 434-440. |
[2] | HU Fu-yuan, WAN Xin-jun, SHEN Ming-fei, XU Jiang-lang, YAO Rui, TAO Zhong-ben. Survey Progress on Image Instance Segmentation Methods of Deep Convolutional Neural Network [J]. Computer Science, 2022, 49(5): 10-24. |
[3] | CHENG Song-sheng, PAN Jin-shan. Video Super-resolution Method Based on Deep Learning Feature Warping [J]. Computer Science, 2021, 48(7): 184-189. |
[4] | SHI Xian-rang, SONG Ting-lun, TANG De-zhi, DAI Zhen-yong. Novel Deep Learning Algorithm for Monocular Vision:H_SFPN [J]. Computer Science, 2021, 48(4): 130-137. |
[5] | XU Yu-jun, LI Chen. Light-weight Object Detection Network Optimized Based on YOLO Family [J]. Computer Science, 2021, 48(11A): 265-269. |
[6] | XU Hua-jie, YANG Yang, LI Gui-lan. Material Recognition Method Based on Attention Mechanism and Deep Convolutional Neural Network [J]. Computer Science, 2021, 48(10): 220-225. |
[7] | CHEN Qing-chao, WANG Tao, YIN Shi-zhuang, FENG Wen-bo. Chain Merging Method for Unknown Text Protocol Candidate Keyword Stored in Multi-levelDictionary [J]. Computer Science, 2020, 47(12): 332-335. |
[8] | QU Jia, SHI Zeng-lin, YE Yang-dong. Unbalanced Crowd Density Estimation Based on Convolutional Features [J]. Computer Science, 2018, 45(8): 236-241. |
[9] | LEI Qian, HAO Cun-ming,ZHANG Wei-ping. Vehicle Recognition Based on Super-resolution and Deep Neural Networks [J]. Computer Science, 2018, 45(6A): 230-233. |
[10] | PAN Xiang and WANG Heng. Similar Character Recognition of License Plates Based on Deep Learning [J]. Computer Science, 2017, 44(Z6): 229-231. |
[11] | CHEN Xiang-tao and XIAO Bi-wen. Emerging Sequences Pattern Mining Based on Location Information [J]. Computer Science, 2017, 44(7): 175-179. |
[12] | WANG Qing-yun and CHENG Chun-ling. Mobile SNS Data Dynamic Partitioning and Replication Algorithm Based on Location Information [J]. Computer Science, 2017, 44(3): 220-225. |
[13] | XI Rui, LI Yu-jun and HOU Meng-shu. Survey on Indoor Localization [J]. Computer Science, 2016, 43(4): 1-6. |
|