Presentation 2017-10-12
PyramidNetに対する新たな確率的正則化手法ShakeDropの提案
Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Residual Network / Residual Learning
Paper # PRMU2017-72
Date of Issue 2017-10-05 (PRMU)

Conference Information
Committee PRMU
Conference Date 2017/10/12(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII)
Vice Chair Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron)
Secretary Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST)
Assistant Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) Deep Residual Network
Keyword(2) Residual Learning
Keyword(3)
1st Author's Name Yoshihiro Yamada
1st Author's Affiliation Osaka Prefecture University(Osaka Pref. Univ.)
2nd Author's Name Masakazu Iwamura
2nd Author's Affiliation Osaka Prefecture University(Osaka Pref. Univ.)
3rd Author's Name Koichi Kise
3rd Author's Affiliation Osaka Prefecture University(Osaka Pref. Univ.)
Date 2017-10-12
Paper # PRMU2017-72
Volume (vol) vol.117
Number (no) PRMU-238
Page pp.pp.55-60(PRMU),
#Pages 6
Date of Issue 2017-10-05 (PRMU)