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Conference Paper: S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation

TitleS3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation
Authors
Cheng, YYang, YChen, HBWong, NYu, H
Issue Date2021
Citation
2021 Winter Conference on Applications of Computer Vision (WACV '21), Virtual Conference, 6-8 January 2021 How to Cite?
DescriptionOral 10A: Image and Video Understanding - Poster no. 738
Persistent Identifierhttp://hdl.handle.net/10722/301979

 

DC FieldValueLanguage
dc.contributor.authorCheng, Y-
dc.contributor.authorYang, Y-
dc.contributor.authorChen, HB-
dc.contributor.authorWong, N-
dc.contributor.authorYu, H-
dc.date.accessioned2021-08-21T03:29:47Z-
dc.date.available2021-08-21T03:29:47Z-
dc.date.issued2021-
dc.identifier.citation2021 Winter Conference on Applications of Computer Vision (WACV '21), Virtual Conference, 6-8 January 2021-
dc.identifier.urihttp://hdl.handle.net/10722/301979-
dc.descriptionOral 10A: Image and Video Understanding - Poster no. 738-
dc.languageeng-
dc.relation.ispartofWinter Conference on Applications of Computer Vision (WACV), 2021-
dc.titleS3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation-
dc.typeConference_Paper-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityWong, N=rp00190-
dc.identifier.hkuros324502-

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