Robust one-stage object detection with location-aware classifiers
文献类型：期刊论文
| 作者 | Chen, Qiang1,2 ; Wang, Peisong1; Cheng, Anda1,2; Wang, Wanguo4; Zhang, Yifan1,2; Cheng, Jian1,2,3
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| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 105页码:11 |
| 关键词 | Object detetion Classification Localization Feature visualization Receptive field |
| ISSN号 | 0031-3203 |
| DOI | 10.1016/j.patcog.2020.107334 |
| 通讯作者 | Cheng, Jian(jcheng@nlpr.ia.ac.cn) |
| 英文摘要 | Recent progress on one-stage detectors focuses on improving the quality of bounding boxes, while they pay less attention to the classification head. In this work, we focus on investigating the influence of the classification head. To understand the behavior of the classifier in one-stage detectors, we resort to the methods of the Explainable deep learning area. We visualize its learned representations via activation maps and analyze its robustness to image scene context. Based on the analysis, we observe that the classifier limits the performance of the detector due to its limited receptive field and the lack of object locations. Then, we design a simple but efficient location-aware multi-dilation module (LAMD) to enhance the weak classifier. We conduct extensive experiments on the COCO benchmark to validate the effectiveness of LAMD. The results suggest that our LAMD can achieve consistent improvements and leads to robust detection across various one-stage detectors with different backbones. (C) 2020 Elsevier Ltd. All rights reserved. |
| 资助项目 | Statc Grid Corporation Projcct Development and Application of Electric Power Patrol Robot Based on Artificial Intelligence Technology |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000539457100021 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Statc Grid Corporation Projcct Development and Application of Electric Power Patrol Robot Based on Artificial Intelligence Technology |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40080]  |
| 专题 | 类脑芯片与系统研究 |
| 通讯作者 | Cheng, Jian |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 4.State Grid Intelligence Technol Co Ltd, Jinan 250132, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Qiang,Wang, Peisong,Cheng, Anda,et al. Robust one-stage object detection with location-aware classifiers[J]. PATTERN RECOGNITION,2020,105:11. |
| APA | Chen, Qiang,Wang, Peisong,Cheng, Anda,Wang, Wanguo,Zhang, Yifan,&Cheng, Jian.(2020).Robust one-stage object detection with location-aware classifiers.PATTERN RECOGNITION,105,11. |
| MLA | Chen, Qiang,et al."Robust one-stage object detection with location-aware classifiers".PATTERN RECOGNITION 105(2020):11. |
入库方式： OAI收割
来源：自动化研究所
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