Knowledge Commons of Institute of Automation,CAS
Dual Attention Network for Scene Segmentation | |
Fu, Jun; Liu, Jing; Tian, Haijie; Li, Yong; Bao, Yongjun; Fang, Zhiwei; Lu, Hanqing | |
2019-06 | |
会议名称 | Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition |
会议录名称 | IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2019) |
会议日期 | June 16-June 20, 2019 |
会议地点 | Long Beach, CA, USA |
出版者 | IEEE International Conference on Computer Vision and Pattern Recognition |
摘要 | In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale feature fusion, we propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies. Specifically, we append two types of attention modules on top of dilated FCN, which model the semantic interdependencies in spatial and channel dimensions respectively. The position attention module selectively aggregates the feature at each position by a weighted sum of the features at all positions. Similar features would be related to each other regardless of their distances. Meanwhile, the channel attention module selectively emphasizes interdependent channel maps by integrating associated features among all channel maps. We sum the outputs of the two attention modules to further improve feature representation which contributes to more precise segmentation results. We achieve new state-of-theart segmentation performance on three challenging scene segmentation datasets, i.e., Cityscapes, PASCAL Context and COCO Stuff dataset. In particular, a Mean IoU score of 81.5% on Cityscapes test set is achieved without using coarse data |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39200 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Liu, Jing |
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 | Fu, Jun,Liu, Jing,Tian, Haijie,et al. Dual Attention Network for Scene Segmentation[C]:IEEE International Conference on Computer Vision and Pattern Recognition,2019. |
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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 | ||
Dual Attention Netwo(1102KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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