Transferring scale-independent features to support multi-scale object recognition with deep convolutional neural network

被引：0
|
作者：
Zhou, Xiran [1 ]
机构：
[1] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
来源：
26TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2018) | 2018年
关键词：
Transfer learning; multi-scale object recognition; deep convolutional neural network; atrous region proposal;
D O I：
10.1145/3274895.3282797
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Objects are always represented by different scales on remote sensing imageries, which poses challenges for the state-of-the-art convolutional neural networks for multi-scale object recognition. This paper proposes atrous region proposal to facilitating detect other objects within different scales in an ad-hoc manner.
引用
收藏
页码：614 / 615
页数：2
相关论文
共 50 条
  • [21] A stacked convolutional neural network framework with multi-scale attention mechanism for text-independent voiceprint recognition
    Karthikeyan, V.
    Suja Priyadharsini, S.
    PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (02)
  • [22] Multi-Scale Attention Deep Neural Network for Fast Accurate Object Detection
    Song, Kaiyou
    Yang, Hua
    Yin, Zhouping
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 29 (10) : 2972 - 2985
  • [23] Boosted Convolutional Neural Network for object recognition at large scale
    Brahimi, Sourour
    Ben Aoun, Najib
    Ben Amar, Chokri
    NEUROCOMPUTING, 2019, 330 : 337 - 354
  • [24] Radar HRRP Target Recognition Based on Deep Multi-Scale 1D Convolutional Neural Network
    Guo Chen
    Jian Tao
    Xu Congan
    He You
    Sun Shun
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2019, 41 (06) : 1302 - 1309
  • [25] Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network
    Zhao, Ruibin
    Pang, Mingyong
    Wang, Jidong
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2018, 32 (05) : 960 - 979
  • [26] Multi-scale Orderless Pooling of Deep Convolutional Activation Features
    Gong, Yunchao
    Wang, Liwei
    Guo, Ruiqi
    Lazebnik, Svetlana
    COMPUTER VISION - ECCV 2014, PT VII, 2014, 8695 : 392 - 407
  • [27] Fast Traffic Sign Recognition Algorithm Based on Multi-scale Convolutional Neural Network
    Zhao, Cai
    Zheng, Wen
    2020 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2020), 2020, : 125 - 130
  • [28] Children's Expression Recognition Based on Multi-Scale Asymmetric Convolutional Neural Network
    Wang, Pengfei
    Gong, Xiugang
    Guo, Qun
    Chang, Guangjie
    Du, Fuxiang
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (07) : 437 - 447
  • [29] EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels
    Phan, Tran-Dac-Thinh
    Kim, Soo-Hyung
    Yang, Hyung-Jeong
    Lee, Guee-Sang
    SENSORS, 2021, 21 (15)
  • [30] Leaf Counting with Multi-Scale Convolutional Neural Network Features and Fisher Vector Coding
    Jiang, Boran
    Wang, Ping
    Zhuang, Shuo
    Li, Maosong
    Li, Zhenfa
    Gong, Zhihong
    SYMMETRY-BASEL, 2019, 11 (04):
12345