Learn to Predict Sets Using Feed-Forward Neural Networks
This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in advance. Many real-world problems, such as image tagging and object detection, have outputs that are n...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 01. Dez., Seite 9011-9025
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| 1. Verfasser: |
Rezatofighi, Hamid
(VerfasserIn) |
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| Weitere Verfasser: |
Zhu, Tianyu,
Kaskman, Roman,
Motlagh, Farbod T,
Shi, Javen Qinfeng,
Milan, Anton,
Cremers, Daniel,
Leal-Taixe, Laura,
Reid, Ian |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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