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Proceedings Paper

MFM Net: modify feature map for object detection
Author(s): Jinhui Qin; Weiqi Jin; Su Qiu; Li Li
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Paper Abstract

Object detection, the important task in computer vision, is widely used in face recognition and unmanned drive. Based on VGG161 , a fast and simple backbone comparing to deeper network, this paper proposes a new block, named Modify Feature Map (MFM) Block, to improve feature maps, leading from two facts: different channel in the feature map represents different feature in an image; every position in a feature map belong to the object or background. We establish MFM Net to predict location and classification. Some experiments on Pascal VOC 2007 and MS COCO show that MFM Net can achieve high performance with real-time speed.

Paper Details

Date Published: 27 November 2019
PDF: 6 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113211J (27 November 2019); doi: 10.1117/12.2548140
Show Author Affiliations
Jinhui Qin, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Su Qiu, Beijing Institute of Technology (China)
Li Li, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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