Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection
In this paper, we propose a graininess-aware deep feature learning method for pedestrian detection. Unlike most existing methods which utilize the convolutional features without explicit distinction, we appropriately exploit multiple convolutional layers and dynamically select most informative featu...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2020) vom: 20. Jan. |
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| Weitere Verfasser: | , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article |
| Online verfügbar |
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