Multi-scale Attention-Based Feature Pyramid Networks for Object Detection

Xiaodong Zhao, Junliang Chen, Minmin Liu, Kai Ye, Linlin Shen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Feature pyramid network (FPN) is widely used for multi-scale object detection. While lots of FPN based methods have been proposed to improve detection performance, there exists semantic difference between cross-scale features. Therefore, simple connections bring spatial or channel information loss, while excessive connections bring extra parameters and inference cost. Besides, the fusion of too many features may lead to the information decay and feature aliasing. To deal with the above problems, we propose the Multi-scale Attention-based Feature Pyramid Networks (MAFPN), to fully exploit spatial and channel information and generate a better feature representation for each level from multi-scale features. Taking scale, spatial and channel information into consideration at the same time, MAFPN can process multi-scale input more comprehensively than most conventional methods. The experimental results show that our MAFPN can improve the detection performance of both two-stage and one-stage detectors with an acceptable increase of inference cost.

Original languageEnglish
Title of host publicationImage and Graphics - 11th International Conference, ICIG 2021, Proceedings
EditorsYuxin Peng, Shi-Min Hu, Moncef Gabbouj, Kun Zhou, Michael Elad, Kun Xu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages405-417
Number of pages13
ISBN (Print)9783030873547
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event11th International Conference on Image and Graphics, ICIG 2021 - Haikou, China
Duration: 6 Aug 20218 Aug 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12888 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Image and Graphics, ICIG 2021
Country/TerritoryChina
CityHaikou
Period6/08/218/08/21

Keywords

  • Feature Pyramid Network
  • Object detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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