Aggregated Residual Dilation-Based Feature Pyramid Network for Object Detection

Aggregated Residual Dilation-Based Feature Pyramid Network for Object Detection

In order to tackle the issue of multi-scale object detection, recent detectors usually adopt hierarchical feature pyramids which are generated by naive combinations of top-down features and lateral features. Considering the limited effective receptive fields of the methods for top-down features augm...

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Bibliographic Details
Main Authors: Xiaotong Zhao, Wei Li, Yifan Zhang, Shuo Chang, Zhiyong Feng, Ping Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Object detection
neural networks
feature extraction
Online Access:https://ieeexplore.ieee.org/document/8840842/

Internet

https://ieeexplore.ieee.org/document/8840842/

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