Cascaded Feature Network for Semantic Segmentation of RGB-D Images

被引:0
|
作者
Lin, Di [1 ]
Chen, Guangyong [2 ]
Cohen-Or, Daniel [1 ,3 ]
Heng, Pheng-Ann [2 ,4 ]
Huang, Hui [1 ,4 ]
机构
[1] Shenzhen University, China
[2] Chinese University of Hong Kong, Hong Kong
[3] Tel Aviv University, Israel
[4] SIAT, Israel
关键词
Number: 2015CB351706,2015CB352501, Acronym: -, Sponsor: -; Number:; 827-000196; Acronym:; -; Sponsor:; Number: 61232011,61233012,61379090,61522213,U1613219, Acronym: NSFC, Sponsor: National Natural Science Foundation of China, Number: -, Acronym: NSFC, Sponsor: National Natural Science Foundation of China, Number: JCYJ20151015151249564, Acronym: -, Sponsor: Shenzhen Graduate School, Peking University, Number: -, Acronym: -, Sponsor: Shenzhen Graduate School, Peking University, Number: 2014TX01X033,2015A030312015,2016A050503036, Acronym: -, Sponsor: Guangdong Provincial Applied Science and Technology Research and Development Program, Number: -, Acronym: -, Sponsor: Guangdong Provincial Applied Science and Technology Research and Development Program,;
D O I
16th IEEE International Conference on Computer Vision, ICCV 2017
中图分类号
学科分类号
摘要
Semantic Segmentation
引用
收藏
页码:1320 / 1328
相关论文
共 50 条
  • [1] Cascaded Feature Network for Semantic Segmentation of RGB-D Images
    Lin, Di
    Chen, Guangyong
    Daniel Cohen-Or
    Heng, Pheng-Ann
    Huang, Hui
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 1320 - 1328
  • [2] Two-Stage Cascaded Decoder for Semantic Segmentation of RGB-D Images
    Yue, Yuchun
    Zhou, Wujie
    Lei, Jingsheng
    Yu, Lu
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2021, 28 (28) : 1115 - 1119
  • [3] SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images
    Lin, Di
    Zhang, Ruimao
    Ji, Yuanfeng
    Li, Ping
    Huang, Hui
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (03) : 1120 - 1131
  • [4] Zig-Zag Network for Semantic Segmentation of RGB-D Images
    Lin, Di
    Huang, Hui
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 42 (10) : 2642 - 2655
  • [5] RAFNet: RGB-D attention feature fusion network for indoor semantic segmentation
    Yan, Xingchao
    Hou, Sujuan
    Karim, Awudu
    Jia, Weikuan
    [J]. DISPLAYS, 2021, 70
  • [6] FGMNet: Feature grouping mechanism network for RGB-D indoor scene semantic segmentation
    Zhang, Yuming
    Zhou, Wujie
    Ye, Lv
    Yu, Lu
    Luo, Ting
    [J]. DIGITAL SIGNAL PROCESSING, 2024, 149
  • [7] Accurate semantic segmentation of RGB-D images for indoor navigation
    Sharan, Sudeep
    Nauth, Peter
    Dominguez-Jimenez, Juan-Jose
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2022, 31 (06)
  • [8] Automatic Network Architecture Search for RGB-D Semantic Segmentation
    Wang, Wenna
    Zhuo, Tao
    Zhang, Xiuwei
    Sun, Mingjun
    Yin, Hanlin
    Xing, Yinghui
    Zhang, Yanning
    [J]. PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 3777 - 3786
  • [9] RGB-D SEMANTIC SEGMENTATION: A REVIEW
    Hu, Yaosi
    Chen, Zhenzhong
    Lin, Weiyao
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW 2018), 2018,
  • [10] Pixel Difference Convolutional Network for RGB-D Semantic Segmentation
    Yang, Jun
    Bai, Lizhi
    Sun, Yaoru
    Tian, Chunqi
    Mao, Maoyu
    Wang, Guorun
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (03) : 1481 - 1492