DOAJ Open Access 2018

Hierarchical Offset Object Detection Based on Human Visual Mechanism

QIN Sheng,ZHANG Xiaolin,CHEN Lili,LI Jiamao

Lihat Sumber DOI

Abstrak

In order to solve the problem of low recall rate in object detection with the deep reinforcement learning method,on the basis of simulating human visual mechanism,a dynamic searching hierarchical offset method is proposed.It uses the idea of anchors based on the original hierarchical searching method,which adds a region offset.This method avoids the limitations generated by hierarchical searching method,and makes the search more flexible.This paper combines the advantages of Double DQN and Dueling DQN,using Double Dueling DQN network structure as the deep reinforcement learning network of the agent.Experimental results show that the accuracy and recall ratio are higher than the original hierarchical searching method.

Topik & Kata Kunci

Computer engineering. Computer hardware Computer software

Penulis (1)

QIN Sheng,ZHANG Xiaolin,CHEN Lili,LI Jiamao

Format Sitasi

APA MLA BibTeX

Jiamao, Q.S.X.L. (2018). Hierarchical Offset Object Detection Based on Human Visual Mechanism. https://doi.org/10.19678/j.issn.1000-3428.0047348

Akses Cepat

Lihat di Sumber doi.org/10.19678/j.issn.1000-3428.0047348

Informasi Jurnal

Tahun Terbit: 2018
Sumber Database: DOAJ
DOI: 10.19678/j.issn.1000-3428.0047348
Akses: Open Access ✓