Vehicle Detection Using Morphological Shared-weight Neural Network in the Multiple Instance Learning Framework

Released on by Anes Ouadou
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  • Vehicle Detection Using Morphological Shared-weight Neural Network in the Multiple Instance Learning Framework Book Detail

  • Author : Anes Ouadou
  • Release Date : 2017
  • Publisher :
  • Genre :
  • Pages : 107
  • ISBN 13 :
  • File Size : 97,97 MB
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Vehicle Detection Using Morphological Shared-weight Neural Network in the Multiple Instance Learning Framework by Anes Ouadou PDF Summary

Book Description: In this thesis, we design and implement an algorithm for object detection in aerial images based on the morphological shared-weight neural network (MSNN). The multiple instance learning (MIL) framework is used to avoid the labeling problem required in a supervised learning framework. Using the MIL, each image was given a single label. We rely on the MSNN’s ability to detect objects, and on the methodology used to generate bags to find our target. Two multiple-instance MSNN structures are developed. The performance of this framework is compared with the performance of a convolutional neural network (CNN) in the same condition.

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