[1] OZA P, PATEL V M. Deep CNN-based Multi-task Learning for Open-Set Recognition[EB/OL]. 2019
[2] ZHU Y K, URTASUN R, SALAKHUTDINOV R, et al.. segDeepM: Exploiting segmentation and context in deep neural networks for object detection[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7-12 June 2015, Boston, MA, USA. IEEE, 2015: 4703-4711.
[3] GIRSHICK R, DONAHUE J, DARRELL T, et al.. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, OH, USA. IEEE, 2014: 580-587.
[4] ZHANG D. A novel in-loop filtering mechanism of HEVC based on 3D sub-bands and CNN processing[J]. Signal, Image and Video Processing,2019: 1-9.
[5] YE H, LI G Y, JUANG B H. Power of deep learning for channel estimation and signal detection in OFDM systems[J]. IEEE Wireless Communications Letters, 2018, 7(1): 114-117.
[6] LIANG F, ZHANG C. Hardware oriented vision system of logistics robotics[C]. 2018 12th IEEE International Conference on Anti-Counterfeiting, Security, and Identification (ASID), 9-11 Nov. 2018, Xiamen, China. IEEE, 2018: 6-9.
[7] GAO X, ZHANG T. Unsupervised learning to detect loops using deep neural networks for visual SLAM system[J]. Autonomous Robots, 2017, 41(1): 1-18.
[8] SELVIN S, VINAYAKUMAR R, GOPALAKRISHNAN E A, et al.. Stock price prediction using LSTM, RNN and CNN-sliding window model[C]. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 13-16 Sept. 2017, Udupi, India. IEEE, 2017: 1643-1647.
[9] LI Q, CAI W D, WANG X G, et al.. Medical image classification with convolutional neural network[C]. 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 10-12 Dec. 2014, Singapore, Singapore. IEEE, 2014: 844-848.
[10] POTLURI S, FASIH A, VUTUKURU L K, et al.. CNN based high performance computing for real time image processing on GPU[C]. Proceedings of the Joint INDS′11 & ISTET′11, 25-27 July 2011, Klagenfurt, Austria. IEEE, 2011: 1-7.
[11] STRIGL D, KOFLER K, PODLIPNIG S. Performance and scalability of GPU-based convolutional neural networks[C]. 2010 18th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 17-19 Feb. 2010, Pisa, Italy. IEEE, 2010: 317-324.
[12] LEE S, SON K, KIM H, et al.. Car plate recognition based on CNN using embedded system with GPU[C]. 2017 10th International Conference on Human System Interactions (HSI), 17-19 July 2017, Ulsan, South Korea. IEEE, 2017: 239-241.
[13] ZHANG K, ZUO W M, GU S H, et al.. Learning deep CNN denoiser prior for image restoration[C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21-26 July 2017, Honolulu, HI, USA. IEEE, 2017: 2808-2817.
[14] PAUWELS K, TOMASI M, DIAZ ALONSO J, et al.. A comparison of FPGA and GPU for real-time phase-based optical flow, stereo, and local image features[J]. IEEE Transactions on Computers, 2012, 61(7): 999-1012.
[15] WANG X F, SOTIRIOS G Z. Hera: A reconfigurable and mixed-mode parallel computing engine on platform FPGAs[C]. 16th International Conference on Parallel and Distributed Computing and Systems (PDCS). 2004.
[16] ZHANG C. Optimizing FPGA-based accelerator design for deep convolutional neural networks[C]. Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. ACM, 2015.
[17] FEIST T. Vivado design suite[J]. White Paper, 2012, 5: 30.
[18] WEI C L, CHEN R L, XIN Q. FPGA design of real-time MDFD system using high level synthesis[J]. IEEE Access, 2019, 7: 83664-83672.
[19] ALMISREB A A, JAMIL N, DIN N M. Utilizing AlexNet deep transfer learning for ear recognition[C]. 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP), 26-28 March 2018, Kota Kinabalu, Malaysia. IEEE, 2018: 1-5.
[20] LU S Y, LU Z H, ZHANG Y D. Pathological brain detection based on AlexNet and transfer learning[J]. Journal of Computational Science, 2019, 30: 41-47.
[21] WAJAHAT N. Classification of breast cancer histology images using ALEXNET[C]. International Conference Image Analysis and Recognition. Springer, Cham, 2018.