LUSSeg/ImageNet-S
(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.
Python
Stargazers
- avecplezirMila, Udem
- BrianPughArlington, VA
- dotaball
- DTennantShanghai
- ducminhkhoiOregon State University
- eugenelawrence
- fly51flyPRIS
- gasvnHarvard university
- halbielee
- hyungkwonko
- itrues
- kfeng123
- kunatoKUNANA AI
- laojiangwei
- lartpangDUT
- LiheYoungThe University of Hong Kong
- livicleeAI Technology Expert, HUAWEI
- Minotaur-CNIME,CAS
- mZhenzFudan University
- NTU-P04922004Taipei, Taiwan
- PengtaoJiangvivo
- PkuRainBowSeniorResearcher@MicrosoftResearch
- puhsuHSE, @yandex-research
- qiulinzhangBUPT & Xidian
- rentainheIDEA
- robinhesseFrankfurt am Main, Germany
- rulixiangAnt Group
- ShreyasSkandanSUniversity of Pennsylvania
- SierkinhaneNUS, Tencent
- SuperBruceJiaBoston University
- uiyo
- weixin00
- xwen99University of Hong Kong (HKU)
- yangyu12Tsinghua University
- Yingdong-Hu
- YudeWangICT, CAS