Sign in

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report.

Andrey IgnatovRadu TimofteMaurizio DennaAbdel YounesGanzorig GankhuyagJingang HuhMyeong Kyun KimKihwan YoonHyeon-Cheol MoonSeungho LeeYoonsik ChoeJinwoo JeongSungjei KimMaciej SmylTomasz LatkowskiPawel KubikMichal SokolskiYujie MaJiahao ChaoZhou ZhouHongfan GaoZhengfeng YangZhenbing ZengZhengyang ZhugeChenghua LiDan ZhuMengdi SunRan DuanYan GaoLingshun KongLong SunXiang LiXingdong ZhangJiawei ZhangYaqi WuJinshan PanGaocheng YuJin ZhangFeng ZhangZhe MaHongbin WangHojin ChoSteve KimHuaen LiYanbo MaZiwei LuoYouwei LiLei YuZhihong WenQi WuHaoqiang FanShuaicheng LiuLize ZhangZhikai ZongJeremy KwonJunxi ZhangMengyuan LiNianxiang FuGuanchen DingHan ZhuZhenzhong ChenGen LiYuanfan Zhanget al.
Published in: CoRR (2022)
Keyphrases
  • image super resolution
  • high quality
  • image registration
  • computationally efficient
  • feature selection
  • machine learning
  • face recognition
  • signal processing
  • super resolution
  • em algorithm
  • low resolution