Knowledge Commons of Institute of Automation,CAS
Single Shot Feature Aggregation Network for Underwater Object Detection | |
Zhang, Lu1,6; Yang, Xu1; Liu, Zhiyong1,4,6; Qi, Lu2; Zhou, Hao3; Chiu, Charles5 | |
2018-08 | |
会议名称 | 2018 24th International Conference on Pattern Recognition (ICPR) |
会议日期 | 2018-8 |
会议地点 | Beijing, China |
出版者 | IEEE Xplore |
摘要 | The rapidly developing ocean exploration and observation make the demand for underwater object detection become increasingly urgent. Recently, deep convolutional neural networks (CNN) have shown strong ability in feature representation and CNN-based detectors also achieve remarkable performance, but still facing the big challenge when detecting multi-scale objects in a complex underwater environment. To address this challenge, we propose a novel underwater object detector, introducing multiscale features and complementary context information for better classification and location ability. In the auto-grabbing contest of 2017 Underwater Robot Picking Contest sponsored by National Natural Science Foundation of China (NSFC), we won the 1-st place by using proposed method for real coastal underwater object detection. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44935 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
通讯作者 | Liu, Zhiyong |
作者单位 | 1.State Key Laboratory of Management and Control for Complex Chinese Academy of Sciences Systems, Institute of Automation 2.The Chinese University of Hong Kong 3.Harbin Engineering University Harbin 4.Center for Excellence in Brain Science and Intelligence Technology 5.School for Higher and Professional Education 6.University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Zhang, Lu,Yang, Xu,Liu, Zhiyong,et al. Single Shot Feature Aggregation Network for Underwater Object Detection[C]:IEEE Xplore,2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Zhang 等。 - 2018 - Si(451KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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