文献
J-GLOBAL ID:202002260106047910
整理番号:20A0913511
改良されたYolov3に基づくX線下の危険物の検出と同定法【JST・京大機械翻訳】
Detection and Identification Method of Dangerous Goods under X-ray Based on Improved YOLOv3
著者 (7件):
Zhang Hong
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Xue Boyuan
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Zhi Qiang
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Fu Yiwen
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Han Lingfei
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Zhang Qing
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
,
Zhang Chao
(Xi’ an University of Posts and Telecommunications,School of Automation,Xi’an,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
SSCI
ページ:
2747-2752
発行年:
2019年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)