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CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping

Xu, J, Zhang, Y, Hou, J, Zhao, R-W, Zhang, T, Gao, Shang, Lu, Xuequan and Feng, R 2022, CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping, in CPVR 2022 : Proceedings of the 2022 Computer Vision and Pattern Recognition Conference, IEEE, Piscataway, N.J., pp. 9437-9446.

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Title CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Author(s) Xu, J
Zhang, Y
Hou, J
Zhao, R-W
Zhang, T
Gao, ShangORCID iD for Gao, Shang orcid.org/0000-0002-2947-7780
Lu, XuequanORCID iD for Lu, Xuequan orcid.org/0000-0003-0959-408X
Feng, R
Conference name Computer Vision and Pattern Recognition. Conference (2022 : New Orleans, Louisiana / Virtual Event))
Conference location New Orleans, Louisiana & Virtual Event
Conference dates 2022/06/19 - 2022/06/24
Title of proceedings CPVR 2022 : Proceedings of the 2022 Computer Vision and Pattern Recognition Conference
Publication date 2022
Start page 9437
End page 9446
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Language eng
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30174074

Document type: Conference Paper
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Mon, 04 Jul 2022, 16:37:20 EST

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