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Species‐level image classification with convolutional neural network enables insect identification from habitus images

机译：利用卷积神经网络对物种级别的图像进行分类可以从习性图像中识别昆虫

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期刊名称 Ecology and Evolution
作者
Oskar L. P. Hansen; Jens‐Christian Svenning; Kent Olsen; Steen Dupont; Beulah H. Garner; Alexandros Iosifidis; Benjamin W. Price; Toke T. Høye;
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作者单位

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年(卷),期 2020(10),2
年度 2020
页码 -1
总页数 11
原文格式 PDF
正文语种
中图分类
关键词
arthropod sampling; automatic species identification; camera trap; entomological collection; image classification; image database;

机译：节肢动物采样;自动物种识别;相机陷阱;昆虫学收集;图像分类;图像数据库;

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专利

1. Species‐level image classification with convolutional neural network enables insect identification from habitus images [J] . Oskar L. P. Hansen, Jens‐Christian Svenning, Kent Olsen, Ecology and Evolution . 2020,第2期

机译：卷积神经网络的物种级图像分类使昆虫识别来自栖息地图像
2. Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks [J] . Gomez-Rios Anabel, Tabik Siham, Luengo Julian, Knowledge-Based Systems . 2019,第Nova15期

机译：基于卷积神经网络的两级分类器通过纹理或结构图像识别珊瑚种类
3. Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers [J] . Janke Jonathan, Castelli Mauro, Popovic Ales Expert Systems with Application . 2019,第NOVa期

机译：分析全连接神经网络在数字图像分类过程中的熟练程度。不同分类算法在卷积层高级图像特征上的基准测试
4. Tree Species Identification from Bark Images Using Convolutional Neural Networks [C] . Mathieu Carpentier, Philippe Giguère, Jonathan Gaudreault IEEE/RSJ International Conference on Intelligent Robots and Systems . 2018

机译：利用卷积神经网络从树皮图像中识别树种
5. Combining Convolutional Neural Networks and Graph Neural Networks for Image Classification [D] . Trivedy, Vivek. 2021

机译：结合卷积神经网络和图形神经网络的图像分类
6. Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks [O] . Yuya Onishi, Atsushi Teramoto, Masakazu Tsujimoto, 2006

机译：使用由生成对抗网络训练的深卷积神经网络在计算机断层扫描图像中自动进行肺结节分类
7. Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers [O] . Jonathan Janke, Mauro Castelli, Aleš Popovič 2019

机译：分析数字图像分类过程中完全连接神经网络的熟练程度分析。不同分类算法的基准从卷积层的高级图像特征

Species‐level image classification with convolutional neural network enables insect identification from habitus images

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