Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

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abstemious

An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100,l computer vision problems with up?to 16 labels and cliques of size 100. The algorithm uses a transformation which transforms a multi-label problem to a 2-label problem on a much larger clique. Earlier algorithms based on this transformation could not handle problems larger than 16 labels on cliques

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Multiple Sound Sources Localization from Coarse to Fine,otations. To solve this problem, we develop a two-stage audiovisual learning framework that disentangles audio and visual representations of different categories from complex scenes, then performs cross-modal feature alignment in a coarse-to-fine manner. Our model achieves state-of-the-art results o

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真繁榮

978-3-030-58564-8Springer Nature Switzerland AG 2020

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