Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

Dinesh Kumar; Dharmendra Sharma; Roland Goecke

doi:10.1007/978-3-030-40605-9_30

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Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

Dinesh Kumar Dharmendra Sharma Roland Goecke

Year: 2020 Lecture notes in computer science Pages: 348-359 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-40605-9_30

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Keywords:

MNIST database Computer science Artificial intelligence Convolutional neural network Invariant (physics) Rotation (mathematics) Pattern recognition (psychology) Computation Rotational invariance Feature extraction Transformer Algorithm Artificial neural network Computer vision Mathematics Voltage

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

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