Learning Diverse Models for End-to-End Ensemble Tracking

被引：0
|
作者：
Wang, Ning [1 ]
Zhou, Wengang [1 ]
Li, Houqiang [1 ]
机构：
[1] Department of Electronic Engineering and Information Science, Cas Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China
来源：
IEEE Transactions on Image Processing | 2021年 / 30卷
关键词：
Learning systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2220 / 2231
相关论文
共 50 条
  • [41] End-to-end learning interpolation for object tracking in low frame-rate video
    Liu, Liqiang
    Cao, Jianzhong
    IET IMAGE PROCESSING, 2020, 14 (06) : 1066 - 1072
  • [42] Learning Driving Models From Parallel End-to-End Driving Data Set
    Chen, Long
    Wang, Qing
    Lu, Xiankai
    Cao, Dongpu
    Wang, Fei-Yue
    PROCEEDINGS OF THE IEEE, 2020, 108 (02) : 262 - 273
  • [43] On the Uses of Large Language Models to Design End-to-end Learning Semantic Communication
    Wang, Ying
    Sun, Zhuo
    Fan, Jinpo
    Ma, Hao
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [44] Ensemble Learning-Based Rate-Distortion Optimization for End-to-End Image Compression
    Wang, Yefei
    Liu, Dong
    Ma, Siwei
    Wu, Feng
    Gao, Wen
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 31 (03) : 1193 - 1207
  • [45] End-to-end learning of evolutionary models to find coding regions in genome alignments
    Mertsch, Darvin
    Stanke, Mario
    BIOINFORMATICS, 2022, 38 (07) : 1857 - 1862
  • [46] End-to-end DeepNCC framework for robust visual tracking
    Dai, Kaiheng
    Wang, Yuehuan
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2020, 70
  • [47] End-to-End Learning Deep CRF Models for Multi-Object Tracking Deep CRF Models (vol 31, pg 275, 2021)
    Xiang, Jun
    Xu, Guohan
    Ma, Chao
    Hou, Jianhua
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 31 (02) : 828 - 828
  • [48] Learning with Proxy Supervision for End-To-End Visual Learning
    Cermak, Jiri
    Angelova, Anelia
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 1 - 6
  • [49] End-to-End Feature Decontaminated Network for UAV Tracking
    Zuo, Haobo
    Fu, Changhong
    Li, Sihang
    Ye, Junjie
    Zheng, Guangze
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 12130 - 12137
  • [50] End-to-end deep metric network for visual tracking
    Tian, Shengjing
    Shen, Shuwei
    Tian, Guoqiang
    Liu, Xiuping
    Yin, Baocai
    VISUAL COMPUTER, 2020, 36 (06): : 1219 - 1232
12345