Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN

Ran Song; Yonghuai Liu; Paul Rosin

doi:10.1109/TVCG.2019.2928794

Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN

Ran Song, Yonghuai Liu, Paul Rosin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	151 - 164
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	27
Issue number	1
DOIs	https://doi.org/10.1109/TVCG.2019.2928794
Publication status	Published - 18 Jul 2019

Bibliographical note

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Mesh saliency
deep learning
transfer learning
weak supervision

Access to Document

10.1109/TVCG.2019.2928794

Mesh Saliency via Weakly SupervisedAccepted author manuscript, 23.7 MB

Cite this

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title = "Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN",

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author = "Ran Song and Yonghuai Liu and Paul Rosin",

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AU - Rosin, Paul

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JO - IEEE Transactions on Visualization and Computer Graphics

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