DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer

被引：0
|
作者：
Biswas, Sanket [1 ]
Banerjee, Ayan [1 ]
Lladós, Josep [1 ]
Pal, Umapada [2 ]
机构：
[1] Computer Vision Center, Computer Science Department, Universitat Autònoma de Barcelona, Spain
[2] Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, India
来源：
arXiv | 2022年
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Decision making
引用
收藏
相关论文
共 50 条
  • [41] Instance-Level Segmentation of Vehicles by Deep Contours
    van den Brand, Jan
    Ochs, Matthias
    Mester, Rudolf
    COMPUTER VISION - ACCV 2016 WORKSHOPS, PT I, 2017, 10116 : 477 - 492
  • [42] LEARNABLE SNAKE R-CNN FOR INSTANCE-LEVEL BIOMEDICAL IMAGE SEGMENTATION
    Song, Jie
    Cai, Ziyun
    Song, Yurong
    Jiang, Guoping
    Lian, Zhichao
    Xiao, Liang
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 2920 - 2924
  • [43] Fusion Scheme for Semantic and Instance-level Segmentation
    Costea, Arthur Daniel
    Petrovai, Andra
    Nedevschi, Sergiu
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 3469 - 3475
  • [44] Towards Instance-level Image-to-Image Translation
    Shen, Zhiqiang
    Huang, Mingyang
    Shi, Jianping
    Xue, Xiangyang
    Huang, Thomas
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 3678 - 3687
  • [45] End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks
    Wang, Tao
    Xu, Ning
    Chen, Kean
    Lin, Weiyao
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 10777 - 10786
  • [46] End-to-end Point Supervised Object Detection with low-level instance features
    Chen, Xiangqi
    Yang, Chengzhuan
    Mo, Jiashuaizi
    Jiang, Yunliang
    Zheng, Zhonglong
    APPLIED SOFT COMPUTING, 2024, 156
  • [47] An end-to-end medical image fusion network based on Swin-transformer
    Yu, Kaixin
    Yang, Xiaoming
    Jeon, Seunggil
    Dou, Qingyu
    MICROPROCESSORS AND MICROSYSTEMS, 2023, 98
  • [48] Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation
    Li, Ping
    Zhang, Yu
    Yuan, Li
    Xu, Xianghua
    INFORMATION PROCESSING & MANAGEMENT, 2024, 61 (01)
  • [49] TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction
    Saeed, Numan
    Sobirov, Ikboljon
    Al Majzoub, Roba
    Yaqub, Mohammad
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT VII, 2022, 13437 : 319 - 329
  • [50] Fully Transformer-Equipped Architecture for end-to-end Referring Video Object Segmentation
    Li, Ping
    Zhang, Yu
    Yuan, Li
    Xu, Xianghua
    Information Processing and Management, 2024, 61 (01):
12345