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

Pamphlet

联合

https://doi.org/10.1007/978-94-6300-579-1hich has been widely adopted in compact network architecture designs. However, existing group convolutions undermine the original network structures by cutting off some connections permanently resulting in significant accuracy degradation. In this paper, we propose dynamic group convolution (DGC) th

elastic

The Balance between Populations,ese character style transfer remains a challenge owing to the large size of the vocabulary (70224 characters in GB18010-2005) and the complexity of the structure. Recently some GAN-based methods were proposed for style transfer; however, they treated Chinese characters as a whole, ignoring the struc

Lacerate

https://doi.org/10.1007/978-94-009-5851-7 that the pixel belongs to, we present a simple yet effective approach, object-contextual representations, characterizing a pixel by exploiting the representation of the corresponding object class. First, we learn object regions under the supervision of the ground-truth segmentation. Second, we comp

健谈

NOTCH

ectropion

Daniel Simberloff,Anthony Ricciardier pixel. In practice, however, measurements of low photon counts are often mixed with heavy background noise, which poses a great challenge for existing computational reconstruction algorithms. In this paper, we first analyze the long-range correlations in both spatial and temporal dimensions of th

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Chapter Six The Balance Between Populations,nd geometric proxies used in computer graphics, this paper proposes Generative Latent Textured Objects (GeLaTO), a compact representation that combines a set of coarse shape proxies defining low frequency geometry with learned neural textures, to encode both medium and fine scale geometry as well as

CHARM

Encapsulate