| Expanded Edge Penalty Loss for Salient Object Detection | |
Wang, Nan1; Shi, Yuetian1; Fang, Jie2; Yang, Fanchao1 ; Zhang, Geng1; Li, Siyuan1; Liu, Xuebin1
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| 2021 | |
| 会议名称 | 4th International Conference on Information Communication and Signal Processing, ICICSP 2021 |
| 会议录名称 | 2021 4th International Conference on Information Communication and Signal Processing, ICICSP 2021 |
| 页码 | 363-367 |
| 会议日期 | 2021-09-24 |
| 会议地点 | Shanghai, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 产权排序 | 1 |
| 摘要 | As an indispensable preprocessing technique for image understanding, salient object detection aims to extract interesting regions from an image for subsequent processing, which has attracted much attention since its wide range of applications. Recently, with the rapid development of artificial intelligence and machine learning, deep neural network especially deep convolutional neural network based methods have achieved competitive performances because of their strong feature representation capability. However, most of these methods often suffer from coarse boundaries. The main reason is that equal penalty factor is applied to each pixel in the image to optimize the network, but there are huge distinctions in prediction complexity among different ones actually. Specifically, pixels closer to the boundaries are increasingly difficult because of their huge gaps between structural information and semantic label. In these cases, we present an Expanded Edge Penalty Loss (EPL) for salient object detection. EPL gives bigger penalty factors to pixels distributed in boundary and near-boundary regions, and further dynamically adjusts their contributions to the model optimization. In addition, the experimental results on five public and challenging datasets have validated the superiority and effectiveness of the proposed method. © 2021 IEEE. |
| 关键词 | RGB images Salient object detection coarse object boundaries expanded edge penalty loss |
| 作者部门 | 光谱成像技术研究室 |
| DOI | 10.1109/ICICSP54369.2021.9611977 |
| 收录类别 | EI |
| ISBN号 | 9781665407571 |
| 语种 | 英语 |
| EI入藏号 | 20220411511204 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/95687 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China; 2.School of Communications and Information Engineering School of Artificial Intelligence, Xi'an University of Posts Telecommunications, Shaanxi, Xi'an; 710121, China |
| 推荐引用方式 GB/T 7714 | Wang, Nan,Shi, Yuetian,Fang, Jie,et al. Expanded Edge Penalty Loss for Salient Object Detection[C]:Institute of Electrical and Electronics Engineers Inc.,2021:363-367. |
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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 | ||
| Expanded Edge Penalt（860KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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