Object Detection Based on Multi-Layer Convolution Feature Fusion and Online Hard Example Mining

Object Detection Based on Multi-Layer Convolution Feature Fusion and Online Hard Example Mining

Object detection is a significant issue in visual surveillance. Faster region-based convolutional neural network (R-CNN) is a typical object detection algorithm of deep learning; however, neither its generalization ability nor its detection accuracy of small object is high. In this paper, an effecti...

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Bibliographic Details
Main Authors: Jun Chu, Zhixian Guo, Lu Leng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep leaning
multi-layer convolution feature fusion
object detection
online hard example mining
region proposal network
Online Access:https://ieeexplore.ieee.org/document/8314823/

Internet

https://ieeexplore.ieee.org/document/8314823/

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