Objectness-aware Semantic Segmentation
Yuhang Wang; Jing Liu; Yong Li; Junjie Yan; Hanqing Lu
2016
会议名称ACM Multimedia
会议录名称Proceedings of the 2016 ACM on Multimedia Conference
会议日期October 15 – 19 , 2016
会议地点Amsterdam, Netherlands
摘要Recent advances in semantic segmentation are driven by the success of fully convolutional neural network (FCN). However, the coarse label map from the network and the object discrimination ability for semantic segmentation weaken the performance of those FCN-based models. To address these issues, we propose an objectness-aware semantic segmentation framework (OA-Seg) by jointly learning an object proposal network (OPN) and a lightweight deconvolutional neural network (Light-DCNN). First, OPN is learned based on a fully convolutional architecture to simultaneously predict object bounding boxes and their objectness scores. Second, we design a Light-DCNN to provide a finer upsampling way than FCN. The Light-DCNN is constructed with convolutional layers in VGG-net and their mirrored deconvolutional structure, where all fully-connected layers are removed. And hierarchical classification layers are added to multi-scale deconvolutional features to introduce more contextual information for pixel-wise label prediction. Compared with previous works, our approach performs an obvious decrease on model size and convergence time. Thorough evaluations are performed on the PASCAL VOC 2012 benchmark, and our model yields impressive results on its validation data (70.3% mean IoU) and test data (74.1% mean IoU).
关键词Deconvolutional Neural Network Semantic Segmentation
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13440
专题模式识别国家重点实验室_图像与视频分析
通讯作者Jing Liu
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Yuhang Wang,Jing Liu,Yong Li,et al. Objectness-aware Semantic Segmentation[C],2016.
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
Objectness-aware Sem(1069KB)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
[Yuhang Wang]的文章
[Jing Liu]的文章
[Yong Li]的文章
百度学术
百度学术中相似的文章
[Yuhang Wang]的文章
[Jing Liu]的文章
[Yong Li]的文章
必应学术
必应学术中相似的文章
[Yuhang Wang]的文章
[Jing Liu]的文章
[Yong Li]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Objectness-aware Semantic Segmentation.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。