A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach

[1]  Xianfang Sun,et al.  Automated brain tumor segmentation on multi-modal MR image using SegNet , 2019, Computational Visual Media.

[2]  Meng Zhang,et al.  Recent Advances in Convolutional Neural Network Acceleration , 2018, Neurocomputing.

[3]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[5]  Roberto Cipolla,et al.  Semantic object classes in video: A high-definition ground truth database , 2009, Pattern Recognit. Lett..

[6]  Siddhartha S. Mehta,et al.  Deep Orange: Mask R-CNN based Orange Detection and Segmentation , 2019, IFAC-PapersOnLine.

[7]  Wonyong Sung,et al.  Structured Pruning of Deep Convolutional Neural Networks , 2015, ACM J. Emerg. Technol. Comput. Syst..

[8]  Jing Zhou,et al.  Automated segmentation of soybean plants from 3D point cloud using machine learning , 2019, Comput. Electron. Agric..

[9]  Artzai Picón,et al.  Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case , 2017, Comput. Electron. Agric..

[10]  Marcel Salathé,et al.  Using Deep Learning for Image-Based Plant Disease Detection , 2016, Front. Plant Sci..

[11]  Yixiang Huang,et al.  Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network , 2019, Frontiers in Plant Science.

[12]  Lingxian Zhang,et al.  A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network , 2018, Comput. Electron. Agric..