End-to-end trainable network for superpixel and image segmentation

被引:0
|
作者
Wang, Kai [1 ]
Li, Liang [1 ]
Zhang, Jiawan [1 ]
机构
[1] College of Intelligence and Computing, Tianjin University, Tianjin,300350, China
关键词
461.4 Ergonomics and Human Factors Engineering - 723.5 Computer Applications - 741.2 Vision - 903.1 Information Sources and Analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Image segmentation
引用
收藏
页码:135 / 142
相关论文
共 50 条
  • [1] End-to-end trainable network for superpixel and image segmentation
    Wang, Kai
    Li, Liang
    Zhang, Jiawan
    [J]. PATTERN RECOGNITION LETTERS, 2020, 140 : 135 - 142
  • [2] A new end-to-end network model for medical image segmentation
    Chen, Hongyou
    Xu, Zengyong
    [J]. JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2021, 24 (02): : 207 - 213
  • [3] PolSAR-SSN: An End-to-End Superpixel Sampling Network for PolSAR Image Classification
    Wang, Lei
    Hong, Hanyu
    Zhang, Yaozong
    Wu, Jinmeng
    Ma, Lei
    Zhu, Yin
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [4] Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
    Follmann, Patrick
    Koenig, Rebecca
    Haertinger, Philipp
    Klostermann, Michael
    Boettger, Tobias
    [J]. 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019, : 1328 - 1336
  • [5] An End-to-End Network for Panoptic Segmentation
    Liu, Huanyu
    Peng, Chao
    Yu, Changqian
    Wang, Jingbo
    Liu, Xu
    Yu, Gang
    Jiang, Wei
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 6165 - 6174
  • [6] End-to-end dilated convolution network for document image semantic segmentation
    Xu Can-hui
    Shi Cao
    Chen Yi-nong
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2021, 28 (06) : 1765 - 1774
  • [7] End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
    [J]. 2021, Institute of Electrical and Electronics Engineers Inc. (2021-May):
  • [8] End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
    Ainetter, Stefan
    Fraundorfer, Friedrich
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 13452 - 13458
  • [9] Image-level dataset synthesis with an end-to-end trainable framework
    Xue, Zhenfeng
    Mao, Weijie
    Liu, Yong
    [J]. IET IMAGE PROCESSING, 2022, 16 (08) : 2228 - 2239
  • [10] FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
    Seong, Hongje
    Hyun, Junhyuk
    Kim, Euntai
    [J]. IEEE ACCESS, 2020, 8 (08) : 82066 - 82077