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Titlebook: Computer Vision – ECCV 2016; 14th European Confer Bastian Leibe,Jiri Matas,Max Welling Conference proceedings 2016 Springer International P

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發(fā)表于 2025-3-23 12:01:46 | 只看該作者
,From One Embassy to Another, 1766–1775,depth hypotheses and uses a spatial kernel density estimate (KDE) to rank them. The confidence produced by the KDE is also an effective means to detect outliers. We also introduce a new closed-form expression for phase noise prediction, that better fits real data. The method is applied to depth deco
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發(fā)表于 2025-3-23 16:00:53 | 只看該作者
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發(fā)表于 2025-3-23 20:05:37 | 只看該作者
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發(fā)表于 2025-3-24 02:07:32 | 只看該作者
Cambridge Imperial and Post-Colonial Studiespose a weakly supervised semantic segmentation method which is based on CNN-based class-specific saliency maps and fully-connected CRF. To obtain distinct class-specific saliency maps which can be used as unary potentials of CRF, we propose a novel method to estimate class saliency maps which improv
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發(fā)表于 2025-3-24 02:34:51 | 只看該作者
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發(fā)表于 2025-3-24 07:13:39 | 只看該作者
The Dutch Language in the Digital Agen automatic approach to discover and analyze visual attributes from a noisy collection of image-text data on the Web. Our approach is based on the relationship between attributes and neural activations in the deep network. We characterize the visual property of the attribute word as a divergence wit
17#
發(fā)表于 2025-3-24 13:00:12 | 只看該作者
18#
發(fā)表于 2025-3-24 16:07:59 | 只看該作者
Corporatization of Paper Manufacturing, this as a learning task but, critically, instead of learning to synthesize pixels from scratch, we learn to . them from the input image. Our approach exploits the observation that the visual appearance of different views of the same instance is highly correlated, and such correlation could be expli
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發(fā)表于 2025-3-24 21:57:15 | 只看該作者
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發(fā)表于 2025-3-25 00:02:51 | 只看該作者
978-3-319-46492-3Springer International Publishing AG 2016
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