DAF-Net: dense attention feature pyramid network for multiscale object detection

Divine Njengwie Achinek; Ibrahim Shehi Shehu; Athuman Mohamed Athuman; Xianping Fu

doi:10.1007/s13735-024-00323-x

ScienceGate Book Chapters

JOURNAL ARTICLE

DAF-Net: dense attention feature pyramid network for multiscale object detection

Divine Njengwie Achinek Ibrahim Shehi Shehu Athuman Mohamed Athuman Xianping Fu

Year: 2024 Journal: International Journal of Multimedia Information Retrieval Vol: 13 (2) Publisher: Springer Science+Business Media

DOI: 10.1007/s13735-024-00323-x

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Feature (linguistics) Pyramid (geometry) Object detection Artificial intelligence Convolutional neural network Exploit Deep learning Object (grammar) Field (mathematics) Network architecture Backbone network Pattern recognition (psychology) Computer vision Telecommunications

Metrics

Cited By

2.12

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

DAF-Net: dense attention feature pyramid network for multiscale object detection

Metrics

Citation History

Topics

Related Documents

Adaptively Dense Feature Pyramid Network for Object Detection

Attention-Based Feature Pyramid Network for Object Detection

Dual-bottleneck feature pyramid network for multiscale object detection

A Longitudinal Dense Feature Pyramid Network for Object Detection

MLA-Net: Feature Pyramid Network with Multi-Level Local Attention for Object Detection