Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification

Zhikang Xu; Bofeng Zhang; Haijie Fu; Xiaodong Yue; Ying Lv

doi:10.1007/978-3-030-88601-1_18

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Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification

Zhikang Xu Bofeng Zhang Haijie Fu Xiaodong Yue Ying Lv

Year: 2021 Lecture notes in computer science Pages: 177-184 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-88601-1_18

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Keywords:

Discriminative model Computer science Artificial intelligence Convolutional neural network Pattern recognition (psychology) Complement (music) Construct (python library) Image (mathematics) Contextual image classification Object (grammar) Focus (optics) Scale (ratio) Process (computing)

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification

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