Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3475-3480,3515

ACDG：adaptive channel weighted in zero-shot object detection with center distance Gaussian loss

Song Yu1,2
Li Min2
He Yujie2
Gou Yao2
Lyu Yilong2
He Zhuzhen1,2
1. College of Information & Communication, National University of Defense Technology, Wuhan 430030, China
2. College of Operational Support, Rocket Force University of Engineering, Xi'an 710025, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0180

Abstract

There are two main problems in zero-shot object detection—the correspondence between the visual features of the object and its corresponding category semantic information is not accurate, and the discrimination between the unseen category object and the background is confused. The proposed ACDG algorithm adopted the adaptive weighting mechanism of feature map channels, which could automatically assign weights to feature map channels according to significance, to establish more accurate visual-semantic correspondence relations. In order to solve the problem of low discrimination between the unseen objects and the background, the method introduced the center distance Gaussian distribution loss to constrain the distance between the center point of the boundary frame and the groundtruth, thus speeding up the convergence of the loss function. In order to verify the superiority of the proposed algorithm, a large number of experiments were performed on MS COCO dataset, and the recall rate and average accuracy are 5.9% and 4.5% higher than the baseline, respectively. The proposed method has positive significance for improving the performance of zero-shot object detection.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0180
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Graphic & Image
Pages: 3475-3480,3515
Serial Number: 1001-3695(2022)11-045-3475-06

Publish History

[2022-06-18] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

宋雨, 李敏, 何玉杰, 等. 一种新的强分辨性零样本目标检测方法 [J]. 计算机应用研究, 2022, 39 (11): 3475-3480,3515. (Song Yu, Li Min, He Yujie, et al. ACDG：adaptive channel weighted in zero-shot object detection with center distance Gaussian loss [J]. Application Research of Computers, 2022, 39 (11): 3475-3480,3515. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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