QDTrack : Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
Similarity learning has been recognized as a crucial step for object tracking. However, existing multiple object tracking methods only use sparse ground truth matching as the training objective, while ignoring the majority of the informative regions in images. In this paper, we present Quasi-Dense S...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 02. Dez., Seite 15380-15393
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| 1. Verfasser: |
Fischer, Tobias
(VerfasserIn) |
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| Weitere Verfasser: |
Huang, Thomas E,
Pang, Jiangmiao,
Qiu, Linlu,
Chen, Haofeng,
Darrell, Trevor,
Yu, Fisher |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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