Cascade Grouped Attention Network for Referring Expression Segmentation

Author:

Luo Gen1,Zhou Yiyi1,Ji Rongrong1,Sun Xiaoshuai1,Su Jinsong1,Lin Chia-Wen2,Tian Qi3

Affiliation:

1. Xiamen University, Xiamen, China

2. National Tsing Hua University, Taiwan, Taiwan Roc

3. Huawei Cloud BU, Huawei Technologies, Beijing, China

Funder

Key R&D Program of Jiangxi Province

Natural Science Foundation of Guangdong Province in China

National Natural Science Foundation of China

National Key R&D Program

Publisher

ACM

Reference45 articles.

1. Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould and Lei Zhang. 2018. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In CVPR. Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould and Lei Zhang. 2018. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In CVPR.

2. See-Through-Text Grouping for Referring Image Segmentation

3. Liangchieh Chen George Papandreou Iasonas Kokkinos Kevin P Murphy and Alan L Yuille. 2018. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets Atrous Convolution and Fully Connected CRFs. In PAMI. Liangchieh Chen George Papandreou Iasonas Kokkinos Kevin P Murphy and Alan L Yuille. 2018. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets Atrous Convolution and Fully Connected CRFs. In PAMI.

4. Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy and Alan L. Yuille. 2014. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. In CVPR. Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy and Alan L. Yuille. 2014. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. In CVPR.

5. Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv preprint arXiv:1412.3555 (2014). Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv preprint arXiv:1412.3555 (2014).

Cited by 71 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3