Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks
暂无分享,去创建一个
Maysam F. Abbod | Jiann-Shing Shieh | Venkat Anil Adibhatla | Huan-Chuang Chih | Chi-Chang Hsu | Joseph Cheng | J. Shieh | M. Abbod | Huan-Chuang Chih | C. Hsu | Joseph Cheng
[1] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Christian Viard-Gaudin,et al. A Convolutional Neural Network Approach for Objective Video Quality Assessment , 2006, IEEE Transactions on Neural Networks.
[3] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Yohei Takada Tokiko Shiina Hiroyasu Usami Yuji Iwahori. Defect Detection and Classification of Electronic Circuit Boards Using Keypoint Extraction and CNN Features , 2017 .
[5] Zuwairie Ibrahim,et al. An image processing approach towards classification of defects on printed circuit board , 2007 .
[6] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[8] Yu Cao,et al. Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks , 2016, FPGA.
[9] Mahesh Rao,et al. A survey on defect detection in bare PCB and assembled PCB using image processing techniques , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).
[10] Ling Shao,et al. Transfer Learning for Visual Categorization: A Survey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[11] Radha Poovendran,et al. On the Limitation of Convolutional Neural Networks in Recognizing Negative Images , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).
[12] Hüseyin Gürüler,et al. Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks , 2015, Journal of medical systems.
[13] Michael Garland,et al. AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks , 2017, ArXiv.
[14] Alan Crispin,et al. Automated inspection of PCB components using a genetic algorithm template-matching approach , 2007 .
[15] De Xu,et al. Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks , 2018, IEEE Transactions on Components, Packaging and Manufacturing Technology.
[16] Sharat Chandra Bhardwaj,et al. Detection of Bare PCB Defects by Image Subtraction Method using Machine Vision , 2011 .
[17] C. Eswaran,et al. Automated Detection of Anesthetic Depth Levels Using Chaotic Features with Artificial Neural Networks , 2007, Journal of Medical Systems.
[18] Fa'Iq Raihan,et al. PCB defect detection USING OPENCV with image subtraction method , 2017, 2017 International Conference on Information Management and Technology (ICIMTech).
[19] Dong Wang,et al. PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks , 2016, ArXiv.
[20] Jing Li,et al. Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network , 2017, FPGA.
[21] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[22] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[25] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[26] Jason Cong,et al. Minimizing Computation in Convolutional Neural Networks , 2014, ICANN.
[27] Mark D. Pritt,et al. Satellite Image Classification with Deep Learning , 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
[28] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[29] Erik W. Jensen,et al. EEG complexity as a measure of depth of anesthesia for patients , 2001, IEEE Trans. Biomed. Eng..
[30] P S Malge,et al. PCB Defect Detection, Classification and Localization using Mathematical Morphology and Image Processing Tools , 2014 .
[31] Luca Maria Gambardella,et al. Convolutional Neural Network Committees for Handwritten Character Classification , 2011, 2011 International Conference on Document Analysis and Recognition.