Výsledky vyhledávání - "Multi-class object segmentation"

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  1. 1

    An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds Autor Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao

    ISSN: 0926-5805, 1872-7891
    Vydáno: Amsterdam Elsevier B.V 01.05.2022
    Vydáno v Automation in construction (01.05.2022)
    “… To address this problem, this research proposes an encoder-decoder deep learning method combined with point cloud techniques for multi-class object segmentation, including seepage, from 3D tunnel point clouds…”
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  2. 2

    Multi-class object segmentation based on jointly integrating segment-level and image-level object priors Autor Yao, Tuozhong, Song, Jiatao, An, Peng, Liu, Liangxu

    Vydáno: IEEE 01.08.2016
    “… deformation and occlusion. This paper proposed a new multi-class object segmentation algorithm which jointly combines the segment-level and image-level object priors in a different way…”
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  3. 3

    Robust Higher Order Potentials for Enforcing Label Consistency Autor Kohli, Pushmeet, Ladický, L’ubor, Torr, Philip H. S.

    ISSN: 0920-5691, 1573-1405
    Vydáno: Boston Springer US 01.05.2009
    “…This paper proposes a novel framework for labelling problems which is able to combine multiple segmentations in a principled manner. Our method is based on…”
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  4. 4

    Semi-supervised learning-based point cloud network for segmentation of 3D tunnel scenes Autor Ji, Ankang, Zhou, Yunxiang, Zhang, Limao, Tiong, Robert L.K., Xue, Xiaolong

    ISSN: 0926-5805, 1872-7891
    Vydáno: Elsevier B.V 01.02.2023
    Vydáno v Automation in construction (01.02.2023)
    “…Automatic identifying target multi-class objects in tunnel scenes from 3D point clouds is widely thought to be critical for maintaining the healthy condition…”
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  5. 5

    Region based level sets for image segmentation: a brief comparative review with a fast model FREEST Autor Feng, Chaolu, Chen, Shuaizheng, Zhao, Dazhe, Yang, Jinzhu

    ISSN: 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.10.2023
    Vydáno v Multimedia tools and applications (01.10.2023)
    “…Region based level sets are one class of popular image segmentation models. Sorting out the inheritance relationship and comparing their performance on same…”
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  6. 6

    Object Segmentation for Autonomous Driving Using iseAuto Data Autor Gu, Junyi, Bellone, Mauro, Sell, Raivo, Lind, Artjom

    ISSN: 2079-9292, 2079-9292
    Vydáno: Basel MDPI AG 01.04.2022
    Vydáno v Electronics (Basel) (01.04.2022)
    “…–camera fusion, with only a few annotated scenarios and semi-supervised learning, it is possible to achieve robust performance on real-world data in a multi-class object segmentation problem…”
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  7. 7

    Improved hierarchical conditional random field model for object segmentation Autor Wang, Li-Li, Yung, Nelson H. C.

    ISSN: 0932-8092, 1432-1769
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2015
    Vydáno v Machine vision and applications (01.11.2015)
    “…Although the hierarchical conditional random field (HCRF) model has been successfully applied to multi-class object segmentation, there is still room for improvement…”
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  8. 8

    Robust higher order potentials for enforcing label consistency Autor Kohli, P., Ladicky, L., Torr, P.

    ISBN: 9781424422425, 1424422426
    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 01.06.2008
    “… ]. We test our method on the problem of multi-class object segmentation by augmenting the conventional…”
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  9. 9

    From video to text: Semantic driving scene understanding using a coarse-to-fine method Autor Huiyuan Fu, Huadong Ma

    ISBN: 1467300454, 9781467300452
    ISSN: 1520-6149
    Vydáno: IEEE 01.03.2012
    “… In the fine phase, we join multi-class object segmentation and detection algorithms together in a unified Conditional Random Filed (CRF…”
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  10. 10

    Multi-class Video Objects Segmentation Based on Conditional Random Fields Autor He, Zhiwei, Xu, Lijun, Zhao, Wei, Gao, Mingyu

    ISSN: 2306-8515, 1726-5479, 1726-5479
    Vydáno: Toronto IFSA Publishing, S.L 01.01.2014
    Vydáno v Sensors & transducers (01.01.2014)
    “… Experimental results show that the proposed algorithm can achieve high performance for multi-class objects segmentation in videos under complex environment. It can also get good recognition results when dealing with multi-viewed objects or serious sheltered objects. [PUBLICATION ABSTRACT]…”
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