Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object detection to achieve higher performance. However, exist...

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Bibliographic Details
Main Authors: S. N. Shivappriya, M. Jasmine Pemeena Priyadarsini, Andrzej Stateczny, C. Puttamadappa, B. D. Parameshachari
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
Additive Activation Function
cascade object detection
Faster Region based Convolution Neural Network
Fourier series and linear combination of activation function
remote sensing
Online Access:https://www.mdpi.com/2072-4292/13/2/200

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