Learning Feature Fusion in Deep Learning-Based Object Detector
Joint Authors
Ahmad, Imtiaz
Hassan, Ehtesham
Khalil, Yasser
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Object detection in real images is a challenging problem in computer vision.
Despite several advancements in detection and recognition techniques, robust and accurate localization of interesting objects in images from real-life scenarios remains unsolved because of the difficulties posed by intraclass and interclass variations, occlusion, lightning, and scale changes at different levels.
In this work, we present an object detection framework by learning-based fusion of handcrafted features with deep features.
Deep features characterize different regions of interest in a testing image with a rich set of statistical features.
Our hypothesis is to reinforce these features with handcrafted features by learning the optimal fusion during network training.
Our detection framework is based on the recent version of YOLO object detection architecture.
Experimental evaluation on PASCAL-VOC and MS-COCO datasets achieved the detection rate increase of 11.4% and 1.9% on the mAP scale in comparison with the YOLO version-3 detector (Redmon and Farhadi 2018).
An important step in the proposed learning-based feature fusion strategy is to correctly identify the layer feeding in new features.
The present work shows a qualitative approach to identify the best layer for fusion and design steps for feeding in the additional feature sets in convolutional network-based detectors.
American Psychological Association (APA)
Hassan, Ehtesham& Khalil, Yasser& Ahmad, Imtiaz. 2020. Learning Feature Fusion in Deep Learning-Based Object Detector. Journal of Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183770
Modern Language Association (MLA)
Hassan, Ehtesham…[et al.]. Learning Feature Fusion in Deep Learning-Based Object Detector. Journal of Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1183770
American Medical Association (AMA)
Hassan, Ehtesham& Khalil, Yasser& Ahmad, Imtiaz. Learning Feature Fusion in Deep Learning-Based Object Detector. Journal of Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1183770
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183770