Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance

Dinesh Kumar; Dharmendra Sharma

doi:10.1007/978-3-031-25477-2_12

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Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance

Dinesh Kumar Dharmendra Sharma

Year: 2023 Communications in computer and information science Pages: 259-278 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-25477-2_12

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Keywords:

Artificial intelligence Computer science Convolutional neural network Pattern recognition (psychology) Convolution (computer science) Pyramid (geometry) Scale (ratio) Filter (signal processing) Feature (linguistics) Scale invariance Computer vision Artificial neural network Mathematics Geography

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance

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