A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network
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De Xu | Yiming Hu | Qingyi Gu | Jianquan Li | Xianlei Long | Shenhua Hu
[1] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[2] Vivienne Sze,et al. 14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks , 2016, ISSCC.
[3] Jun Chen,et al. Super high-speed vision platform for processing 1024×1024 images in real time at 12500 fps , 2016, 2016 IEEE/SICE International Symposium on System Integration (SII).
[4] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[5] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Shenghuo Zhu,et al. Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM , 2017, AAAI.
[7] Eunhyeok Park,et al. Weighted-Entropy-Based Quantization for Deep Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yang Liu,et al. Two-Step Quantization for Low-bit Neural Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[10] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[11] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[12] Takeshi Takaki,et al. 500-fps face tracking system , 2012, Journal of Real-Time Image Processing.
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Yifan Sun,et al. Wide Compression: Tensor Ring Nets , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[17] Tadayoshi Aoyama,et al. LOC-Based High-Throughput Cell Morphology Analysis System , 2015, IEEE Transactions on Automation Science and Engineering.
[18] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[19] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[20] Idaku Ishii,et al. Review of some advances and applications in real-time high-speed vision: Our views and experiences , 2016, Int. J. Autom. Comput..
[21] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[22] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Amit K. Roy-Chowdhury,et al. Evaluation and Acceleration of High-Throughput Fixed-Point Object Detection on FPGAs , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[24] Jianxin Wu,et al. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Igor Carron,et al. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016 .
[26] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[27] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[28] Takeshi Takaki,et al. Color-histogram-based tracking at 2000 fps , 2012, J. Electronic Imaging.
[29] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[30] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Takeshi Takaki,et al. Fast FPGA-Based Multiobject Feature Extraction , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[32] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[33] Tadayoshi Aoyama,et al. Simultaneous Vision-Based Shape and Motion Analysis of Cells Fast-Flowing in a Microchannel , 2015, IEEE Transactions on Automation Science and Engineering.
[34] De Xu,et al. 12,000-fps Multi-object detection using HOG descriptor and SVM classifier , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[35] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[37] Hiroki Nakahara,et al. A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA , 2018, FPGA.