文献
J-GLOBAL ID:202102274674187661
整理番号:21A0577608
適応学習速度とラベル平滑化による微調整による空中シーン分類【JST・京大機械翻訳】
Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing
著者 (6件):
Petrovska Biserka
(Ministry of Defence, 1000 Skopje, North Macedonia)
,
Atanasova-Pacemska Tatjana
(Faculty of Computer Science, University Goce Delcev, 2000 Stip, North Macedonia)
,
Corizzo Roberto
(Department of Computer Science, American University, 4400 Massachusetts Ave NW, Washington, DC 20016, USA)
,
Mignone Paolo
(Department of Computer Science, University of Bari Aldo Moro, Via E. Orabona, 4, 70125 Bari, Italy)
,
Lameski Petre
(Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Rugjer Boshkovik 16, 1000 Skopje, North Macedonia)
,
Zdravevski Eftim
(Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Rugjer Boshkovik 16, 1000 Skopje, North Macedonia)
資料名:
Applied Sciences (Web)
(Applied Sciences (Web))
巻:
10
号:
17
ページ:
5792
発行年:
2020年
JST資料番号:
U7135A
ISSN:
2076-3417
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)