LEARNABLE CONTEXTUAL REGULARIZATION FOR SEMANTIC SEGMENTATION OF INDOOR SCENE IMAGES
Jun Chu1; Xu Xiao2,3; Gaofeng Meng3; Lingfeng Wang3; Chunhong Pan3
2017
会议名称IEEE International Conference on Image Processing
会议日期2017-9-17
会议地点Beijing, CHINA
摘要Semantic segmentation of indoor scene images has a wide range of applications. However, due to a large number of classes and uneven distribution in indoor scenes, mislabels are often made when facing small objects or boundary regions. Technically, contextual information may benefit for segmentation results, but has not yet been exploited sufficiently. In this paper, we propose a learnable contextual regularization model for enhancing the semantic segmentation results of color indoor scene images. This regularization model is combined with a deep convolutional segmentation network without significantly increasing the number of additional parameters. Our model, derived from the inherent contextual regularization on the indoor scene objects, benefits much from the learnable constraint layers bridging the lower layers and the higher layers in the deep convolutional network. The constraint layers are further integrated with a weighted L1-norm based contextual regularization between the neighboring pixels of RGB values to improve the segmentation results. Experimental results on NYUDv2 indoor scene dataset demonstrate the effectiveness and efficiency of the proposed method.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/20353
专题模式识别国家重点实验室_先进数据分析与学习
作者单位1.Institute of Computer Vision, Nanchang Hangkong University
2.School of Software, Nanchang Hangkong University
3.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Jun Chu,Xu Xiao,Gaofeng Meng,et al. LEARNABLE CONTEXTUAL REGULARIZATION FOR SEMANTIC SEGMENTATION OF INDOOR SCENE IMAGES[C],2017.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
0001267.pdf(579KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jun Chu]的文章
[Xu Xiao]的文章
[Gaofeng Meng]的文章
百度学术
百度学术中相似的文章
[Jun Chu]的文章
[Xu Xiao]的文章
[Gaofeng Meng]的文章
必应学术
必应学术中相似的文章
[Jun Chu]的文章
[Xu Xiao]的文章
[Gaofeng Meng]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 0001267.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。