Search Results - 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 by Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao

    ISSN: 0926-5805, 1872-7891
    Published: Amsterdam Elsevier B.V 01.05.2022
    Published in 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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    Journal Article
  2. 2

    Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds by Ji, Ankang, Zhang, Limao, Fan, Hongqin, Xue, Xiaolong, Dou, Yudan

    ISSN: 0926-5805, 1872-7891
    Published: Elsevier B.V 01.12.2023
    Published in Automation in construction (01.12.2023)
    “…Aiming to automatically segment multi-class objects on the tunnel point cloud, a deep learning network named dual attention-based point cloud network (DAPCNet…”
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    Journal Article
  3. 3

    TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context by Shotton, Jamie, Winn, John, Rother, Carsten, Criminisi, Antonio

    ISSN: 0920-5691, 1573-1405
    Published: Boston Springer US 01.01.2009
    Published in International journal of computer vision (01.01.2009)
    “…This paper details a new approach for learning a discriminative model of object classes, incorporating texture, layout, and context information efficiently…”
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    Journal Article
  4. 4

    Retraction Note: Evaluation of image segmentation and multi class object recognition algorithm based on machine learning by Zhang, Le

    ISSN: 3004-9261, 2523-3963, 3004-9261, 2523-3971
    Published: Cham Springer International Publishing 13.05.2024
    Published in Discover applied sciences (13.05.2024)
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    Journal Article
  5. 5

    Evaluation of image segmentation and multi class object recognition algorithm based on machine learning by Le Zhang

    ISSN: 2523-3963, 2523-3971
    Published: Springer 01.05.2023
    Published in SN applied sciences (01.05.2023)
    “… Finally, the performance of traditional image segmentation and multi class object recognition algorithms and the image segmentation and multi class object recognition algorithms proposed…”
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    Journal Article
  6. 6

    RETRACTED ARTICLE: Evaluation of image segmentation and multi class object recognition algorithm based on machine learning by Zhang, Le

    ISSN: 2523-3963, 2523-3971
    Published: Cham Springer International Publishing 01.05.2023
    Published in SN applied sciences (01.05.2023)
    “… Finally, the performance of traditional image segmentation and multi class object recognition algorithms and the image segmentation and multi class object recognition algorithms proposed…”
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    Journal Article
  7. 7

    Layered object detection for multi-class segmentation by Yi Yang, Hallman, S, Ramanan, D, Fowlkes, C

    ISBN: 1424469848, 9781424469840
    ISSN: 1063-6919, 1063-6919
    Published: IEEE 01.06.2010
    “…We formulate a layered model for object detection and multi-class segmentation. Our system uses the output of a bank of object detectors in order to define…”
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    Conference Proceeding
  8. 8

    Segmentation-based multi-class semantic object detection by Vieux, Remi, Benois-Pineau, Jenny, Domenger, Jean-Philippe, Braquelaire, Achille

    ISSN: 1380-7501, 1573-7721
    Published: Boston Springer US 01.09.2012
    Published in Multimedia tools and applications (01.09.2012)
    “…In this paper we study the problem of the detection of semantic objects from known categories in images…”
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    Journal Article
  9. 9

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

    Published: 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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    Conference Proceeding
  10. 10

    Temporally consistent multi-class video-object segmentation with the Video Graph-Shifts algorithm by Chen, A Y C, Corso, J J

    ISBN: 1424494966, 9781424494965
    ISSN: 1550-5790
    Published: IEEE 01.01.2011
    “…We present the Video Graph-Shifts (VGS) approach for efficiently incorporating temporal consistency into MRF energy minimization for multi-class video object segmentation…”
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    Conference Proceeding
  11. 11

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

    ISSN: 2306-8515, 1726-5479, 1726-5479
    Published: Toronto IFSA Publishing, S.L 01.01.2014
    Published in Sensors & transducers (01.01.2014)
    “…) model is proposed to achieve accurate multi-class segmentation of video objects in the complex environment…”
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    Journal Article
  12. 12
  13. 13

    Multi-class Object Recognition and Segmentation Based on Multi-feature Fusion Modeling by Chen Jing-Xia, Zhang Yan-Ning, Jiang Dong-Mei, Li Fei, Xie Jia

    Published: IEEE 01.08.2015
    “… The constraint relationship between image theme, region and pixel is considered while modeling feature potentials and optimizing parameter's selection to improve the accuracy of multi-class object…”
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    Conference Proceeding
  14. 14

    Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning by Buyu Liu, Xuming He, Gould, Stephen

    ISSN: 1550-5790
    Published: IEEE 01.01.2015
    “…We tackle the problem of semantic segmentation of dynamic scene in video sequences…”
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    Conference Proceeding
  15. 15

    Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting by Xu, Jingyi, Le, Hieu, Samaras, Dimitris

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.07.2023
    Published in arXiv.org (15.07.2023)
    “… (namely, multi-class object counting) is particularly challenging for current object counting models…”
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    Paper
  16. 16

    Theme-Based Multi-class Object Recognition and Segmentation by Shilin Wu, Jiajia Geng, Feng Zhu

    ISBN: 1424475422, 9781424475421
    ISSN: 1051-4651
    Published: IEEE 01.08.2010
    “…In this paper, we propose a new theme-based CRF model and investigate its performance on class based pixel-wise segmentation of images…”
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    Conference Proceeding
  17. 17

    Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound by Howell, Lewis, Ingram, Nicola, Lapham, Roger, Morrell, Adam, McLaughlan, James R.

    ISSN: 0041-624X, 1874-9968, 1874-9968
    Published: Netherlands Elsevier B.V 01.05.2024
    Published in Ultrasonics (01.05.2024)
    “… To address this, we propose a deep learning pipeline for multi-class segmentation of objects (ribs, pleural line) and artefacts…”
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    Journal Article
  18. 18

    Comparative analysis of deep learning methods for breast ultrasound lesion detection and classification by Vallez, Noelia, Mateos-Aparicio-Ruiz, Israel, Rienda, Miguel Angel, Deniz, Oscar, Bueno, Gloria

    ISSN: 1120-1797, 1724-191X, 1724-191X
    Published: Italy Elsevier Ltd 01.06.2025
    Published in Physica medica (01.06.2025)
    “…: a) multi-class object detection, b) one-class object detection followed by localized region classification, c…”
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    Journal Article
  19. 19

    Multi-Class Pavement Disease Recognition Using Object Detection and Segmentation by Zhang, Kuan, Zheng, Mingkai, Yu, Qing, Liu, Yi

    ISSN: 2573-3311
    Published: IEEE 14.10.2022
    “… In this work, by introducing the object detection and segmentation into the detection of pavement diseases, a multi-class pavement disease detection method is proposed…”
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    Conference Proceeding
  20. 20

    Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation by Hu, Han, Feng, Jianjiang, Yu, Chuan, Zhou, Jie

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: New York, NY IEEE 01.11.2013
    Published in IEEE transactions on image processing (01.11.2013)
    “… However, it does not perform well in challenging segmentation problems, such as segmenting objects in a complex background…”
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    Journal Article