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jingyi xu,1 zhixin shu,2 dimitris samaras1 1stony brook university, 2adobe research [email protected], [email protected], [email protected] abstract in
huazhe xu1∗, boyuan chen1∗, yang gao2, trevor darrell1 abstract— it is a long-standing challenge to enable an in- telligent agent to learn in one environment
“zero-shot” super-resolution using deep internal learning assaf shocher∗ nadav cohen† michal irani∗ ∗dept. of computer science and
light field super-resolution with zero-shot learning supplementary material zhen cheng zhiwei xiong chang chen dong liu zheng-jun zha university of science and technology
rethinking knowledge graph propagation for zero-shot learning michael kampffmeyer∗1, yinbo chen∗2, xiaodan liang†3, hao wang4, yujia zhang5, and eric
learning aligned cross-modal representations from weakly aligned data lluı́s castrejón∗ university of toronto [email protected] yusuf aytar∗ mit csail [email protected]…
meta-transfer learning for zero-shot super-resolution jae woong soh sunwoo cho nam ik cho department of ece, inmc, seoul national university, seoul, korea {soh90815, etoo33}@ispl.snu.ac.kr,…
generalized zero-shot learning with deep calibration network shichen liu† mingsheng long†b jianmin wang† and michael i jordan †school of software tsinghua university…
generalized zero-shot learning with deep calibration network shichen liu† mingsheng long† jianmin wang† and michael ijordan‡ †school of software tsinghua university…
arxiv submission: multi-label zero-shot classification 1 multi-label zero-shot classification by learning to transfer from external knowledge he huang1 [email protected] yuanwei…
learning a deep embedding model for zero-shot learning li zhang tao xiang shaogang gong queen mary university of london {davidlizhang txiang sgong}@qmulacuk abstract zero-shot…
introduction model experiments conclusion zero-shot learning via class-conditioned deep generative models wenlin wang joint with yunchen pu vinay kumar verma kai fan yizhe…
attribute prototype network for zero-shot learning supplementary material the supplementary material is organized as follows in section a we present more qualitative results…
zero-shot visual recognition using semantics-preserving adversarial embedding networks long chen1 hanwang zhang23 jun xiao1∗ wei liu3 shih-fu chang4 1zhejiang university…
gradient matching generative networks for zero-shot learning mert bulent sariyildiz bilkent university department of computer engineering [email protected] ramazan…
a novel baseline for zero-shot learning via adversarial visual-semantic embedding yu liu [email protected] tinne tuytelaars [email protected] abstract
zero-shot deep learning for media mining: person spotting and face clustering in video big dataelectronics article zero-shot deep learning for media mining: person spotting
write a classifier: zero-shot learning using purely textual descriptions mohamed elhoseiny babak saleh ahmed elgammal department of computer science rutgers university new…
darla: improving zero-shot transfer in reinforcement learning irina higgins * 1 arka pal * 1 andrei rusu 1 loic matthey 1 christopher burgess 1 alexander pritzel 1 matthew…
deep tree learning for zero-shot face anti-spoofing yaojie liu joel stehouwer amin jourabloo xiaoming liu department of computer science and engineering michigan state university…