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Conference Paper: (2+1)-D Resnet Model with Non-Consecutive Frames for Hong Kong Sign Language Recognition

Title(2+1)-D Resnet Model with Non-Consecutive Frames for Hong Kong Sign Language Recognition
Authors
ZHOU, ZTam, VWLWong Lui, KSLam, EYM
Issue Date2020
Citation
The Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Paris, France, 9-12 November 2020 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/286435

 

DC FieldValueLanguage
dc.contributor.authorZHOU, Z-
dc.contributor.authorTam, VWL-
dc.contributor.authorWong Lui, KS-
dc.contributor.authorLam, EYM-
dc.date.accessioned2020-08-31T07:03:51Z-
dc.date.available2020-08-31T07:03:51Z-
dc.date.issued2020-
dc.identifier.citationThe Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Paris, France, 9-12 November 2020-
dc.identifier.urihttp://hdl.handle.net/10722/286435-
dc.languageeng-
dc.relation.ispartofThe Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020)-
dc.title(2+1)-D Resnet Model with Non-Consecutive Frames for Hong Kong Sign Language Recognition-
dc.typeConference_Paper-
dc.identifier.emailTam, VWL: vtam@hkucc.hku.hk-
dc.identifier.emailWong Lui, KS: kslui@eee.hku.hk-
dc.identifier.emailLam, EYM: elam@eee.hku.hk-
dc.identifier.authorityTam, VWL=rp00173-
dc.identifier.authorityWong Lui, KS=rp00188-
dc.identifier.authorityLam, EYM=rp00131-
dc.identifier.hkuros313608-

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