Learning to Segment Object Candidates via Recursive Neural Networks
To avoid the exhaustive search over locations and scales, current state-of-the-art object detection systems usually involve a crucial component generating a batch of candidate object proposals from images. In this paper, we present a simple yet effective approach for segmenting object proposals via...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 12 vom: 23. Dez., Seite 5827-5839
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| 1. Verfasser: |
Chen, Tianshui
(VerfasserIn) |
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| Weitere Verfasser: |
Lin, Liang,
Wu, Xian,
Xiao, Nong,
Luo, Xiaonan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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