Deep Loss Convexification for Learning Iterative Models
Iterative methods such as iterative closest point (ICP) for point cloud registration often suffer from bad local optimality (e.g. saddle points), due to the nature of nonconvex optimization. To address this fundamental challenge, in this paper we propose learning to form the loss landscape of a deep...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 04. Dez.
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| 1. Verfasser: |
Zhang, Ziming
(VerfasserIn) |
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| Weitere Verfasser: |
Shao, Yuping,
Zhang, Yiqing,
Lin, Fangzhou,
Zhang, Haichong,
Rundensteiner, Elke |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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