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rethinking knowledge graph propagation for zero-shot learning michael kampffmeyer∗1 yinbo chen∗2 xiaodan liang†3 hao wang4 yujia zhang5 and eric p xing6 1uit the arctic…
generalized zero-shot learning with deep calibration network shichen liu† mingsheng long†b jianmin wang† and michael i jordan †school of software tsinghua university…
“zero-shot” super-resolution using deep internal learning assaf shocher∗ nadav cohen† michal irani∗ ∗dept. of computer science and applied math, the weizmann…
zero-shot learning via visual abstraction stanislaw antol1 c lawrence zitnick2 and devi parikh1 1 virginia tech blacksburg va usa 2 microsoft research redmond wa usa abstract…
rethinking zero-shot learning: a conditional visual classification perspective kai li1, martin renqiang min2, yun fu1,3 1department of electrical and computer engineering,…
fine-grained generalized zero-shot learning via dense attribute-based attention dat huynh northeastern university huynhdat@huskyneuedu ehsan elhamifar northeastern university…
generalized zero-shot learning via over-complete distribution rohit keshari+ richa singh∗ and mayank vatsa∗ + iiit-delhi india ∗ iit jodhpur india rohitk@iiitdacin…
1 fine-grained object recognition and zero-shot learning in remote sensing imagery gencer sumbul ramazan gokberk cinbis and selim aksoy senior member ieee abstract—fine-grained…
zero-shot learning via visual abstraction stanislaw antol1, c. lawrence zitnick2, and devi parikh1 1 virginia tech, blacksburg, va, usa 2 microsoft research, redmond, wa,…
zero-shot learning via class-conditioned deep generative models wenlin wang1∗, yunchen pu1, vinay kumar verma3, kai fan2, yizhe zhang2 changyou chen4, piyush rai3∗, lawrence…
hyperbolic visual embedding learning for zero-shot recognition shaoteng liu12 jingjing chen1† liangming pan3 chong-wah ngo4 tat-seng chua3 yu-gang jiang1 1shanghai key…
proceedings of the 58th annual meeting of the association for computational linguistics pages 122–132 july 5 - 10 2020 c©2020 association for computational linguistics…
multi-modal cycle-consistent generalized zero-shot learning rafael felix vijay kumar b g ian reid gustavo carneiro australian institute for machine learning university of…
zero-shot learning - the good, the bad and the ugly yongqin xian1, bernt schiele1, zeynep akata1,2 1 max-planck institute for informatics 2 university of amsterdam zero-shot…
attentive region embedding network for zero-shot learning guo-sen xie1 li liu1 xiaobo jin3 fan zhu1 zheng zhang2 jie qin1 yazhou yao1 ling shao1 1inception institute of artificial…
multi-modal cycle-consistent generalized zero-shot learning rafael felix, vijay kumar b g, ian reid, gustavo carneiro australian institute for machine learning, university…
attribute attention for semantic disambiguation in zero-shot learning yang liu, jishun guo†, deng cai∗, xiaofei he state key lab of cadcg, college of computer science,…
learning a deep embedding model for zero-shot learning li zhang tao xiang shaogang gong queen mary university of london {david.lizhang, t.xiang, s.gong}@qmul.ac.uk abstract…
less is more: zero-shot learning from online textual documents with noise suppression∗ ruizhi qiao, lingqiao liu, chunhua shen, anton van den hengel school of computer…
a joint generative model for zero-shot learning rui gao1, xingsong hou1, jie qin2, li liu3, fan zhu3, and zhao zhang4 1 school of electronic and information engineering,…