Sparse R-CNN : An End-to-End Framework for Object Detection
Object detection serves as one of most fundamental computer vision tasks. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined on all grids of an image feature map of size H×W. In this paper, we present Sparse R-CNN, a very simple and sparse...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 04. Dez., Seite 15650-15664
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| 1. Verfasser: |
Sun, Peize
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Rufeng,
Jiang, Yi,
Kong, Tao,
Xu, Chenfeng,
Zhan, Wei,
Tomizuka, Masayoshi,
Yuan, Zehuan,
Luo, Ping |
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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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