Impurity detection of juglans using deep learning and machine vision

Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky et al. · arXiv (Cornell University) · 2012 · 6.6K citations · Full text

Feature Detector, Large Ai Model, Convolutional Neural Network +15

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Young‐Jin Cha, Wooram Choi, Oral Büyüköztürk · Computer-Aided Civil and Infrastructure Engineering · 2017 · 3K citations · Full text

Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

Yudong Zhang, Zhengchao Dong, Xianqing Chen et al. · Multimedia Tools and Applications · 2017 · 390 citations

Data Augmentation, Fruit Category Classification, Food Quality

Learning Deep Networks from Noisy Labels with Dropout Regularization

Ishan Jindal, Matthew Nokleby, Xuewen Chen · 2016 · 186 citations

Natural Language Processing, Few-shot Learning, Data Augmentation +11

Injurious or Noninjurious Defect Identification From MFL Images in Pipeline Inspection Using Convolutional Neural Network

Jian Feng, Fangming Li, Senxiang Lu et al. · IEEE Transactions on Instrumentation and Measurement · 2017 · 153 citations

Convolutional Neural Network, Engineering, Feature Detection +17