Deep CNN-based visual defect detection: Survey of current literature

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 214.9K citations · Full text

Image Classification, Deep Neural Networks, Machine Vision +14

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.4K citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +16

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 56.5K citations · Full text

Engineering, Machine Learning, Multilayer Neural Networks +17

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.2K citations

Image Classification, Deep Neural Networks, Image Analysis +15

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Mark Sandler, Andrew Howard, Menglong Zhu et al. · 2018 · 24.2K citations

Convolutional Neural Network, Scene Analysis, Engineering +17