Art

J-GLOBAL ID：202102261522842761   Reference number：21A0633072

TF-YOLO: An Improved Incremental Network for Real-Time Object Detection

TF-YOLO:実時間オブジェクト検出のための改良型増分ネットワーク【JST・京大機械翻訳】

Author (5)： He Wangpeng ,  Huang Zhe ,  Wei Zhifei ,  Li Cheng ,  Guo Baolong
Material： Applied Sciences (Web)
Volume： 9  Issue： 16  Page： 3225  Publication year： 2019 
JST Material Number： U7135A  ISSN： 2076-3417  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： In recent years, significant a...

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Thesaurus term： algorithm ,  optimization ,  visual sense ,  *network ,  clustering ,  end-to-end signaling system ,  embedded system
Semi thesaurus term： ネットワークモデル ,  マルチスケール ,  *物体検出 ,  複雑性 ,  実時間 ,  携帯機器 ,  深層学習 , 【Automatic Indexing@JST】

Author keywords (4)： real-time detection ,  deep learning ,  small objects ,  embedded system

JST classification (3)： Artificial intelligence  (JE08000Z) ,  Computer simulation  (JE11000H) ,  Communication network  (ND07030A)

Reference (36)：

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• Jiang, H.; Wang, J.; Yuan, Z.; Wu, Y.; Zheng, N.; Li, S. Salient object detection: A discriminative regional feature integration approach. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, USA, 23-28 June 2013; pp. 2083-2090.
• Tang, C.; Ling, Y.; Yang, X.; Jin, W.; Zheng, C. Muti-view object detection based on deep learning. Appl. Sci. 2018, 8, 1423.
• Jeong, Y.N.; Son, S.R.; Jeong, E.H.; Lee, B.K. An Integrated Self-Diagnosis System for an Autonomous Vehicle Based on an IoT Gateway and Deep Learning. Appl. Sci. 2018, 7, 1164.
• Girshick, R.; Donahue, J.; Darrell, T.; Malik, J. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 24-27 June 2014; pp. 580-587.

Terms in the title (3)： 実時間 ,  オブジェクト検出 ,  増分