Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19

23 November 2020

Papers citing "Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19"

20 / 20 papers shown

Title
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 157 4,395 0 07 Nov 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 68 529 0 26 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 87 17,950 0 28 May 2019
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector Chen Du Chunheng Wang Yanna Wang Cunzhao Shi Baihua Xiao 35 42 0 15 Nov 2018
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images S. Deitsch Vincent Christlein S. Berger C. Buerhop‐Lutz Andreas Maier F. Gallwitz Christian Riess 46 357 0 08 Jul 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images S. Deitsch C. Buerhop‐Lutz E. Sovetkin A. Steland Andreas Maier F. Gallwitz Christian Riess 111 63 0 18 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 134 1,319 0 23 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 129 19,124 0 13 Jan 2018
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 150 2,508 0 02 Jun 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 846 14,493 0 07 Oct 2016
Understanding data augmentation for classification: when to warp? S. Wong Adam Gatt V. Stamatescu Mark D Mcdonnell 62 904 0 28 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 624 36,599 0 25 Aug 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 281 10,149 0 16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 114 7,448 0 24 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 31 4,587 0 10 Feb 2016
Recent Advances in Convolutional Neural Networks Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy ... Xingxing Wang Li Wang Gang Wang Jianfei Cai Tsuhan Chen 122 5,172 0 22 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 473 27,231 0 02 Dec 2015
Exploiting Local Features from Deep Networks for Image Retrieval Joe Yue-Hei Ng Fan Yang L. Davis FAtt 58 412 0 20 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 804 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 920 99,991 0 04 Sep 2014