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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 2
618-622

Offset filter and unknown feature reinforcement for open world object detection

Wang Chaoa
Su Shuzhia
Zhu Yanminb
Xu Yanga
a. School of Computer Science & Engineering, b. School of Mechanical & Electrical Engineering, Anhui University of Science & Technology, Huainan Anhui 232001, China
DOI: 10.19734/j.issn.1001-3695.2024.05.0183

Abstract

OWOD is a computer vision challenge focusing on real-world environments, requiring the detection of both labeled known objects and previously unseen unknown objects during training. This paper proposed a novel open world object detector based on OFUR-OWOD to address the problems of confusing the detection of known and unknown objects, dense unknown objects and small object omission. Firstly, it designed an unknown class feature reinforcement(UCFR) module to reinforce the unknown object features by means of adaptive unknown object scoring, which in turn improved the training accuracy of the model for unknown objects. Then, it applied overlapping box offset filter(OBOF) to the proposals to obtain different offset scores according to the object position and size in order to filter redundant unknown object boxes. Extensive experiments demonstrate that this method outperforms some of the state-of-the-art methods on COCO-OOD and COCO-Mix.

Foundation Support

国家自然科学基金面上项目(52374155,61806006)
安徽省自然科学基金(面上项目)(2308085MF218)
安徽省高等学校自然科学研究项目(重大项目)(2022AH040113)
安徽理工大学青年基金(重点项目)(QNZD202202)
淮南市指导性科技计划项目(2023142,2023147)
安徽省高校中青年教师培养行动项目(YQZD2023035)
安徽理工大学医学专项培育项目(重大项目)(YZ2023H2A007)
合肥综合性国家科学中心大健康研究院职业医学与健康联合研究中心项目(OMH-2023-05,OMH-2023-24)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0183
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 2
Section: Technology of Graphic & Image
Pages: 618-622
Serial Number: 1001-3695(2025)02-041-0618-05

Publish History

[2025-02-05] Printed Article

Cite This Article

王超, 苏树智, 朱彦敏, 等. 基于偏移过滤与未知特征强化的开放世界目标检测 [J]. 计算机应用研究, 2025, 42 (2): 618-622. (Wang Chao, Su Shuzhi, Zhu Yanmin, et al. Offset filter and unknown feature reinforcement for open world object detection [J]. Application Research of Computers, 2025, 42 (2): 618-622. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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