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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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樓主: relapse
31#
發(fā)表于 2025-3-26 23:23:36 | 只看該作者
32#
發(fā)表于 2025-3-27 02:01:44 | 只看該作者
Categorisation of Alternatives,window detections, in multiple scenes to obtain candidate matches from which an alignment hypothesis can be computed. To determine the best alignment, we propose a novel cost function that takes both the number of window matches and the intersection of the aligned models into account. We evaluate our solution on multiple challenging datasets.
33#
發(fā)表于 2025-3-27 06:48:11 | 只看該作者
34#
發(fā)表于 2025-3-27 13:25:53 | 只看該作者
35#
發(fā)表于 2025-3-27 16:40:42 | 只看該作者
36#
發(fā)表于 2025-3-27 21:20:31 | 只看該作者
https://doi.org/10.1007/978-3-642-31647-0ially noisy face clustering result. Experiments on three benchmark video datasets demonstrate that our approach generates character clusters with high purity compared to existing video face clustering methods, which are either based on deep face representation (without adaptation) or carefully engineered features.
37#
發(fā)表于 2025-3-27 22:10:59 | 只看該作者
38#
發(fā)表于 2025-3-28 05:31:51 | 只看該作者
39#
發(fā)表于 2025-3-28 07:05:54 | 只看該作者
40#
發(fā)表于 2025-3-28 11:28:45 | 只看該作者
Joint Face Representation Adaptation and Clustering in Videosially noisy face clustering result. Experiments on three benchmark video datasets demonstrate that our approach generates character clusters with high purity compared to existing video face clustering methods, which are either based on deep face representation (without adaptation) or carefully engineered features.
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