@inproceedings{026ad73832974ef48613d6175b66a72a,
title = "MFM Net: Modify feature map for object detection",
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.",
keywords = "Modify Feature Map (MFM) Block, Object detection",
author = "Jinhui Qin and Weiqi Jin and Su Qiu and Li Li",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 2019 2nd International Conference on Image and Video Processing, and Artificial Intelligence, IVPAI 2019 ; Conference date: 23-08-2019 Through 25-08-2019",
year = "2019",
doi = "10.1117/12.2548140",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Ruidan Su",
booktitle = "2019 International Conference on Image and Video Processing, and Artificial Intelligence",
address = "United States",
}