1 |
郑远攀,李广阳,李晔.深度学习在图像识别中的应用研究综述[J].计算机工程与应用,2019,55(12):20-36. 10.3778/j.issn.1002-8331.1903-0031
|
|
ZHENG Y P, LI G Y, LI Y. Survey of application of deep learning in image recognition[J]. Computer Engineering and Applications, 2019, 55(12): 20-36. 10.3778/j.issn.1002-8331.1903-0031
|
2 |
张慧,王坤峰,王飞跃.深度学习在目标视觉检测中的应用进展与展望[J].自动化学报,2017,43(8):1289-1305. 10.16383/j.aas.2017.c160822
|
|
ZHANG H, WANG K F, WANG F Y. Advances and perspectives of deep learning in visual object detection[J]. Acta Automatica Sinica, 2017, 43(8): 1289-1305. 10.16383/j.aas.2017.c160822
|
3 |
管皓, 薛向阳, 安志勇.深度学习在视频目标跟踪中的应用进展与展望[J].自动化学报,2016,42(6):834-847. 10.16383/j.aas.2016.c150705
|
|
GUAN H, XUE X Y, AN Z Y. Advances on application of deep learning for video object tracking[J]. Acta Automatica Sinica, 2016, 42(6): 834-847. 10.16383/j.aas.2016.c150705
|
4 |
张政馗,庞为光,谢文静,等.面向实时应用的深度学习研究综述[J].软件学报,2020,31(9):2654-2677.
|
|
ZHANG Z K, PANG W G, XIE W J, et al. Deep learning for real-time applications: a survey[J]. Journal of Software, 2020, 31(9): 2654-2677.
|
5 |
LUGARESI C, TANG J, NASH H, et al. MediaPipe: a framework for building perception pipelines[EB/OL]. (2019-06-14)[2023-04-19]. .
|
6 |
GORBACHEV Y, FEDOROV M, SLAVUTIN I, et al. OpenVINO deep learning workbench: Comprehensive analysis and tuning of neural networks inference[C]// Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision. Piscataway: IEEE, 2019: 783-787. 10.1109/iccvw.2019.00104
|
7 |
丁光耀, 陈启航, 徐辰, 等.大数据处理系统中面向GPU加速DNN推理的模型共享[J].清华大学学报(自然科学版), 2022,62(9): 1435-1441.
|
|
DING G Y, CHEN Q H, XU C, et al. Model sharing for GPU-accelerated DNN inference in big data processing systems[J]. Journal of Tsinghua University (Science and Technology), 2022, 62(9): 1435-1441.
|
8 |
李欢, 黄英, 张付军, 等.基于软件组件库的柴油机ECU软件设计与实现[J].汽车工程,2016, 38(12): 1420-1426. 10.3969/j.issn.1000-680X.2016.12.003
|
|
LI H, HUANG Y, ZHANG F J, et al. Design and implementation of diesel engine ECU software based on software component library[J]. Automotive Engineering, 2016, 38(12): 1420-1426. 10.3969/j.issn.1000-680X.2016.12.003
|
9 |
WENDE F, STEINKE T, CORDES F. Multi-threaded kernel offloading to GPGPU using Hyper-Q on Kepler architecture [EB/OL]. (2014-06-12)[2023-04-19]. . 10.1109/saahpc.2012.12
|
10 |
CRANKSHAW D, WANG X, ZHOU G, et al. Clipper: a low-latency online prediction serving system[C]// Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation. Berkeley: USENIX Association, 2017: 613-627.
|
11 |
OLSTON C, FIEDEL N, GOROVOY K, et al. TensorFlow-Serving: flexible, high-performance ML serving[EB/OL]. (2017-12-17) [2023-04-19]. .
|
12 |
XIAO W, BHARDWAJ R, RAMJEE R, et al. Gandiva: introspective cluster scheduling for deep learning[C]// Proceedings of the 13th USENIX Conference on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2018: 595-610.
|
13 |
SHEN H, CHEN L, JIN Y, et al. Nexus: a GPU cluster engine for accelerating DNN-based video analysis[C]// Proceedings of the 27th ACM Symposium on Operating Systems Principles. New York: ACM, 2019: 322-337. 10.1145/3341301.3359658
|
14 |
XIAO W, REN S, LI Y, et al. AntMan: dynamic scaling on GPU clusters for deep learning[C]// Proceedings of the 14th USENIX Conference on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2020: 533-548.
|
15 |
BAI Z, ZHANG Z, ZHU Y, et al. PipeSwitch: fast pipelined context switching for deep learning applications[C]// Proceedings of the 14th USENIX Conference on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2020: 499-514.
|
16 |
VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]// Proceedings of the 31st International Conference on Neural Information Processing Systems. Red Hook: Curran Associates Inc., 2017: 6000-6010.
|
17 |
FRANK A, AAMRI Y S K AL, ZAYEGH A. IoT based smart traffic density control using image processing[C]// Proceedings of the 2019 4th MEC International Conference on Big Data and Smart City. Piscataway: IEEE, 2019: 1-4. 10.1109/icbdsc.2019.8645568
|
18 |
CHEN Q, WANG W, WU F, et al. A survey on an emerging area: deep learning for smart city data[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3(5): 392-410. 10.1109/tetci.2019.2907718
|
19 |
BAZAREVSKY V, GRISHCHENKO I, RAVEENDRAN K, et al. BlazePose: on-device real-time body pose tracking[EB/OL]. (2020-06-17)[2023-04-19]. .
|