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Lightweight dense-scale network (LDSNet) for corn leaf disease identification
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Outgoing claims: the papers this work cites, builds on, or argues with.
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CBAM: Convolutional Block Attention Module
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification
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A review on the main challenges in automatic plant disease identification based on visible range images
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Cucumber leaf disease identification with global pooling dilated convolutional neural network
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Depthwise separable convolution architectures for plant disease classification
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Crop leaf disease recognition based on Self-Attention convolutional neural network
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SoyNet: Soybean leaf diseases classification
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An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
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Rice diseases detection and classification using attention based neural network and bayesian optimization
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Recent advances in image processing techniques for automated leaf pest and disease recognition – A review
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WITHDRAWN: A comparative analysis on plant pathology classification using deep learning architecture – Resnet and VGG19
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Identification of crop diseases using improved convolutional neural networks
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Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning
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Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
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Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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2015 IEEE International Conference on Computer Vision (ICCV)
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2017 IEEE International Conference on Computer Vision (ICCV)
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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Bias Loss for Mobile Neural Networks
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Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks
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Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
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Apple Leaf Disease Identification Through Region-of-Interest-Aware Deep Convolutional Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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