Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 337-344.doi: 10.11896/jsjkx.210600204
• Image Processing & Multimedia Technology • Previous Articles Next Articles
CHU Yu-chun1, GONG Hang1, Wang Xue-fang2, LIU Pei-shun1
CLC Number:
[1] GIRSHICK R J,DONAHUE T,DARRE L,et al.Region BasedConvolutional Networks for Accurate Object Detection and Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38:142-158. [2] HE K,ZHANG X,REN S,et al.Spatial Pyramid Pooling inDeep Convolutional Networks for Visual Recognition[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2014,37(9):1904-1916. [3] GIRSHICK R.Fast R-CNN[C]//Proceedings of the IEEE International Conference on Computer Vision.2015:1440-1448. [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,2017,39:1137-1149. [5] LIN T Y,PIOTOR DOLLA R,GIRSHICK R,et al.FeaturePyramid Networks for Object Detection[C]//Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition.2017:2117-2125. [6] CAI Z W,VASCONCELOS N.Cascade R-CNN:Delving intoHigh Quality Object Detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recogntion.2018:6154-6162. [7] REDMON J,FARHADI A.YOLO9000:Better,Faster,Stronger[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2017:6517-6525. [8] REDMON J,FARHADI A.YOLOv3:AnIncremental Improve-ment[J].arxiv:1804.02767,2018. [9] BOCHKOVSKIY A,WANG C Y,LIAO H.YOLOv4:Optimal Speed and Accuracy of Object Detection[J].arXiv:2004.10934,2020. [10] LIU W,ANGUELOV D,ERHAN D,et al.SSD:Single ShotMultiBox Detector[C]//Proceedings of European Conference on Computer Vision.2016:21-37. [11] LIN T Y,GOYAL P,GIRSHICK R,et al.Focal Loss for Dense Object Detection[C]//Proceedings of IEEE International Conference on Computer Vision.2017:2980-2988. [12] BUCILA C,CARUANA R,NICULESCU-MIZIL A.ModelCompression[C]//ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD'06).Computer Science Cornell University,2006:535-541. [13] HINTON G,VINYALS O,DEAN J.Distilling the Knowledge in a Neural Network[J].Computer Science,2015,14(7):38-39. [14] ZAGORUYKO S,KOMODAKIS N.Paying More Attention to Attention:Improving the Performance of Convolutional Neural Networks via Attention Transfer[J].arXiv:1612.03928,2016. [15] HOU Y,MA Z,LIU C,et al.Learning Lightweight Lane Detection CNNS By Self AttentionDistillation[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.2019:1013-1021. [16] HE T,SHEN C,TIAN Z,et al.KnowledgeAdaptation for Efficient Semantic Segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2019:578-587. [17] WANG T,YUAN L,ZHANG X,et al.Distilling Object Detectors With Fine-Grained Feature Imitation[C]//2019IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).IEEE,2020. [18] GAO M,SHEN Y,LI Q,et al.Residual Knowledge Distillation[J].arXiv:2002.09168,2020. [19] WANG W,HONG W,WANG F,et al.Gan-knowledge distil-lation for one-stage object detection[J].IEEE Access,2020,8:60719-60727. [20] CHAWLA A,YIN H,MOLCHANOV P,et al.Data-FreeKnowledge Distillation for Object Detection[C]//Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.2021:3289-3298. [21] DAI X,JIANG Z,WU Z,et al.General Instance Distillation for Object Detection[C]//Computer Vision and Pattern Recognition(CVPR).IEEE,2021. [22] ZHOU D W,MA L Y,TIAN J Y,et al.Super-resolution Reconstruction of Images Based on Feature Fusion Attention Networks[J].Acta Automatica Sinica,2019,57:1-9. [23] ROMERO A,BALLAS N,KAHOU S E,et al.Fitnets:Hintsfor Thin Deep Nets[J].arXiv:1412.6550,2014. [24] LI H.Exploring Knowledge Distillation of Deep Neural Nets for Efficient Hardware Solutions[C]//CS230 Report.2018. [25] EVERINGHAM M,ESLAMI S,GOOL L V,et al.The PASCAL Visual Object Classes Challenge:A Retrospective[J].International Journal of Computer Vision,2015,111(1):98-136. |
[1] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[2] | DAI Yu, XU Lin-feng. Cross-image Text Reading Method Based on Text Line Matching [J]. Computer Science, 2022, 49(9): 139-145. |
[3] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[4] | XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171. |
[5] | XIONG Li-qin, CAO Lei, LAI Jun, CHEN Xi-liang. Overview of Multi-agent Deep Reinforcement Learning Based on Value Factorization [J]. Computer Science, 2022, 49(9): 172-182. |
[6] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[7] | TANG Ling-tao, WANG Di, ZHANG Lu-fei, LIU Sheng-yun. Federated Learning Scheme Based on Secure Multi-party Computation and Differential Privacy [J]. Computer Science, 2022, 49(9): 297-305. |
[8] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[9] | SUN Qi, JI Gen-lin, ZHANG Jie. Non-local Attention Based Generative Adversarial Network for Video Abnormal Event Detection [J]. Computer Science, 2022, 49(8): 172-177. |
[10] | YAN Jia-dan, JIA Cai-yan. Text Classification Method Based on Information Fusion of Dual-graph Neural Network [J]. Computer Science, 2022, 49(8): 230-236. |
[11] | WANG Jian, PENG Yu-qi, ZHAO Yu-fei, YANG Jian. Survey of Social Network Public Opinion Information Extraction Based on Deep Learning [J]. Computer Science, 2022, 49(8): 279-293. |
[12] | HAO Zhi-rong, CHEN Long, HUANG Jia-cheng. Class Discriminative Universal Adversarial Attack for Text Classification [J]. Computer Science, 2022, 49(8): 323-329. |
[13] | JIANG Meng-han, LI Shao-mei, ZHENG Hong-hao, ZHANG Jian-peng. Rumor Detection Model Based on Improved Position Embedding [J]. Computer Science, 2022, 49(8): 330-335. |
[14] | WANG Ming, PENG Jian, HUANG Fei-hu. Multi-time Scale Spatial-Temporal Graph Neural Network for Traffic Flow Prediction [J]. Computer Science, 2022, 49(8): 40-48. |
[15] | HOU Yu-tao, ABULIZI Abudukelimu, ABUDUKELIMU Halidanmu. Advances in Chinese Pre-training Models [J]. Computer Science, 2022, 49(7): 148-163. |
|