Tackling over-smoothing in multi-label image classification using graphical convolution neural network

Vikas Chauhan; Aruna Tiwari; Boppudi Venkata; Vislavath Naik

doi:10.1007/s12530-022-09463-z

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Tackling over-smoothing in multi-label image classification using graphical convolution neural network

Vikas Chauhan Aruna Tiwari Boppudi Venkata Vislavath Naik

Year: 2022 Journal: Evolving Systems Vol: 14 (5)Pages: 771-781 Publisher: Springer Science+Business Media

DOI: 10.1007/s12530-022-09463-z

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Keywords:

Smoothing Computer science Convolution (computer science) Graphical model Normalization (sociology) Classifier (UML) Pattern recognition (psychology) Pairwise comparison Artificial intelligence Convolutional neural network Artificial neural network Algorithm Computer vision

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Tackling over-smoothing in multi-label image classification using graphical convolution neural network

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