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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 ZhangLei SunDafeng ZhangNeo YangFitz LiuJerry ZhaoMustafa AyazogluBahri Batuhan BilecenShota HiroseKasidis ArunruangsirilertLuo AoHo Chun LeungAndrew WeiJie LiuQiang LiuDahai YuAo LiLei LuoCe ZhuSeongmin HongDongwon ParkJoonhee LeeByeong Hyun LeeSeunggyu LeeSe Young ChunRuiyuan HeXuhao JiangHaihang RuanXinjian ZhangJing LiuGaras GendyNabil SaborJingchao HouGuanghui He
Published in: ECCV Workshops (3) (2022)
Keyphrases
  • image super resolution
  • low resolution
  • computationally efficient
  • computer vision
  • multiscale
  • active contours