Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection

Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection

Object detection becomes a challenge due to diversity of object scales. In general, modern object detectors use feature pyramid to learn multi-scale representation for better results. However, current versions of feature pyramid are insufficient to handle scale imbalance, as it is inefficient to int...

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Bibliographic Details
Main Authors: Lubna Aziz, Md Sah Bin Haji Salam, Usman Ullah Sheikh, Surat Khan, Huma Ayub, Sara Ayub
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Object detection
feature pyramid
convolutional neural network
computer vision
Online Access:https://ieeexplore.ieee.org/document/9624958/

Internet

https://ieeexplore.ieee.org/document/9624958/

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