Knowledge Commons of Institute of Automation,CAS
Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation | |
Ying P(应鹏); Liu J(刘静); Lu HQ(卢汉清); Ma SD(马颂德) | |
2015-10 | |
会议名称 | ACM Multimedia Conference 2015 |
会议录名称 | ACM Digital Library |
会议日期 | 26 – 30,October,2015 |
会议地点 | Brisbane, Queensland, Australia |
摘要 | ;
How to import image-level labels as weak supervision to direct the region-level labeling task is the core task of weaklysupervised semantic segmentation. In this paper, we focus on designing an effective but simple weakly-supervised constraint, and propose an exclusive constrained discriminative learning model for image semantic segmentation. To be specific, we employ a discriminative linear regression model to assign subsets of superpixels with different labels. During the assignment, we construct an exclusive weakly-supervised constraint term to suppress the labeling responses of each superpixel on the labels outside its parent image-level label set.. Besides, a spectral smoothing term is integrated to encourage that both visually and semantically similar superpixels have similar labels. Combining these terms, we formulate the problem as a convex objective function, which can be easily optimized via alternative iterations. Extensive experiments on MSRC-21 and LabelMe datasets demonstrate the effectiveness of the proposed model. |
关键词 | Semantic Segmentation Weak Supervision |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11598 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Ying P(应鹏) |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Ying P,Liu J,Lu HQ,et al. Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation[C],2015. |
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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 | ||
应鹏_MM.pdf(1375KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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