BOOK-CHAPTER

Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

Dinesh KumarDharmendra SharmaRoland Goecke

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

Metrics

6
Cited By
2.95
FWCI (Field Weighted Citation Impact)
22
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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Rotation Invariance in Graph Convolutional Networks

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