Segment as Points for Efficient and Effective Online Multi-Object Tracking and Segmentation
Current multi-object tracking and segmentation (MOTS) methods follow the tracking-by-detection paradigm and adopt 2D or 3D convolutions to extract instance embeddings for instance association. However, due to the large receptive field of deep convolutional neural networks, the foreground areas of th...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 09. Okt., Seite 6424-6437
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| 1. Verfasser: |
Xu, Zhenbo
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Wei,
Zhang, Wei,
Tan, Xiao,
Huang, Huan,
Huang, Liusheng |
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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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