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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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41#
發(fā)表于 2025-3-28 17:57:47 | 只看該作者
Spatio-Temporally Consistent Correspondence for Dense Dynamic Scene Modelingof local spatio-temporal assumptions to both identify and refine dense low-level data associations in the absence of prior dynamic content models. By developing a strictly data-driven approach to correspondence search, based on bottom-up local 3D motion cues of local rigidity and non-local coherence
42#
發(fā)表于 2025-3-28 20:07:19 | 只看該作者
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發(fā)表于 2025-3-28 23:51:13 | 只看該作者
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發(fā)表于 2025-3-29 03:32:28 | 只看該作者
Resonant Deformable Matching: Simultaneous Registration and Reconstructionures. Registration of density functions is particularly popular. In contrast to the success enjoyed by the density function representation, we have not seen similar success with the signed distance function representation. Resonant deformable matching (RDM) simultaneously estimates a non-rigid defor
45#
發(fā)表于 2025-3-29 09:38:03 | 只看該作者
46#
發(fā)表于 2025-3-29 12:30:47 | 只看該作者
COCO Attributes: Attributes for People, Animals, and Objectslargest attribute dataset to date. Using our COCO Attributes dataset, a fine-tuned classification system can do more than recognize object categories – for example, rendering multi-label classifications such as “sleeping spotted curled-up cat” instead of simply “cat”. To overcome the expense of anno
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發(fā)表于 2025-3-29 16:03:18 | 只看該作者
48#
發(fā)表于 2025-3-29 19:43:41 | 只看該作者
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發(fā)表于 2025-3-30 02:27:57 | 只看該作者
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