Deep Learning Model for Object Detection

被引:2
|
作者
Hristeva, T. [1 ]
Marinova, M. [2 ]
Lazarov, V. [3 ]
机构
[1] Tech Univ Sofia, Plovdiv Branch, Plovdiv, Bulgaria
[2] Tech Univ, Sofia, Bulgaria
[3] Bulgarian Acad Sci, Sofia, Bulgaria
关键词
D O I
10.1063/1.5133483
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Machine learning is entering in the everyday life of people in different forms. The reasons for this are the continuous development of computer systems, the increase of their computing power and the increase of data stored on electronic media. The main goals of developing self-learning models are to improve or replace existing methods for processing large amounts of information, to improve the services offered by different institutions, and generally to improve and facilitate the lifestyle of modern man. Machine learning can be used to detect complex relationships between a large set of input data, making it an appropriate method for solving a wide range of issues in different spheres such as Bioinformatics, Computer networks, Computer vision, Marketing, Medicine, Natural Language Processing (NLP) and many others.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Incremental Deep Learning Method for Object Detection Model Based on Knowledge Distillation
    Fang W.
    Chen A.
    Meng N.
    Cheng H.
    Wang Q.
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2022, 54 (06): : 59 - 66
  • [22] A review of object detection based on deep learning
    Xiao, Youzi
    Tian, Zhiqiang
    Yu, Jiachen
    Zhang, Yinshu
    Liu, Shuai
    Du, Shaoyi
    Lan, Xuguang
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (33-34) : 23729 - 23791
  • [23] Fire Object Detection and Tracking Based on Deep Learning Model and Kalman Filter
    Zeineb Daoud
    Amal Ben Hamida
    Chokri Ben Amar
    Arabian Journal for Science and Engineering, 2024, 49 : 3651 - 3669
  • [24] Deep learning model inspired by lateral line system for underwater object detection
    Jeong, Taekyeong
    Yoo, Janggon
    Kim, Daegyoum
    BIOINSPIRATION & BIOMIMETICS, 2022, 17 (02)
  • [25] Object Detection and Tracking Based on Deep Learning
    Lee, Yong-Hwan
    Lee, Wan-Bum
    INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS-2019, 2020, 994 : 629 - 635
  • [26] Recent advances in deep learning for object detection
    Wu, Xiongwei
    Sahoo, Doyen
    Hoi, Steven C. H.
    NEUROCOMPUTING, 2020, 396 : 39 - 64
  • [27] Deep Learning in Object Recognition, Detection, and Segmentation
    Wang, Xiaogang
    FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING, 2014, 8 (04): : I - +
  • [28] Deep Learning for Generic Object Detection: A Survey
    Li Liu
    Wanli Ouyang
    Xiaogang Wang
    Paul Fieguth
    Jie Chen
    Xinwang Liu
    Matti Pietikäinen
    International Journal of Computer Vision, 2020, 128 : 261 - 318
  • [29] Survey of Object Detection Based on Deep Learning
    Luo H.-L.
    Chen H.-K.
    1600, Chinese Institute of Electronics (48): : 1230 - 1239
  • [30] Deep Contrast Learning for Salient Object Detection
    Li, Guanbin
    Yu, Yizhou
    2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 478 - 487