文献
J-GLOBAL ID:202202211262421368
整理番号:22A0970943
顔の老化と劣化の生成のための残差ネットワークに従うマルチスケール特徴融合モデル【JST・京大機械翻訳】
Multi-scale feature fusion model followed by residual network for generation of face aging and de-aging
著者 (4件):
Atkale Dipali Vasant
(Department of Electronics and Telecommunication Engineering, SVERIs College of Engineering, University of PAH, Pandharpur, Solapur, India)
,
Pawar Meenakshi M.
(Department of Electronics and Telecommunication Engineering, SVERIs College of Engineering, University of PAH, Pandharpur, Solapur, India)
,
Deshpande Shabdali C.
(Department of Electronics and Telecommunication Engineering, SVERIs College of Engineering, University of PAH, Pandharpur, Solapur, India)
,
Yadav Dhanashree M.
(Department of Electronics and Telecommunication Engineering, SVERIs College of Engineering, University of PAH, Pandharpur, Solapur, India)
資料名:
Signal, Image and Video Processing
(Signal, Image and Video Processing)
巻:
16
号:
3
ページ:
753-761
発行年:
2022年
JST資料番号:
W4946A
ISSN:
1863-1711
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)