Results 31 to 40 of about 1,601,796 (383)
Depth Map Estimation for Free-Viewpoint Television and Virtual Navigation
IEEE Access, 2020 The paper presents a new method of depth estimation, dedicated for free-viewpoint television (FTV) and virtual navigation (VN). In this method, multiple arbitrarily positioned input views are simultaneously used to produce depth maps characterized by ...
Dawid Mieloch +2 more
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Online Segment to Segment Neural Transduction [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 We introduce an online neural sequence to sequence model that learns to alternate between encoding and decoding segments of the input as it is read. By independently tracking the encoding and decoding representations our algorithm permits exact polynomial marginalization of the latent segmentation during training, and during decoding beam search is ...
Yu, L, Buys, J, Blunsom, P
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Pecan Preferences Associated with Mid-west Nut Buyers
HortScience, 2020 Over the past decade, pecans (Carya illinoinensis) have experienced slow to stagnant growth as other nuts see continual growth. Given demand, producers and retailers are needing to finding new ways to market pecans.
Julie Campbell, Vanessa Shonkwiler
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Learning Deconvolution Network for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2015 We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer net.
Hyeonwoo Noh +2 more
semanticscholar +1 more source
Developmental Cell, 2004 The three major taxa with metameric segmentation (annelids, arthropods, and chordates) appear to use three very different molecular strategies to generate segments. However, unexpected similarities are starting to emerge from characterization of pair-rule patterning and segmental border formation.
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Joint Learning of Intrinsic Images and Semantic Segmentation [PDF]
, 2018 Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. It is known that albedo (reflectance) is invariant to all kinds of illumination effects. Thus, using reflectance images for semantic segmentation task
A Garcia-Garcia +13 more
core +2 more sources
A SIMPLE METHODOLOGY TO SEGMENT X-RAY TOMOGRAPHIC IMAGES OF A MULTIPHASIC BUILDING STONE
Image Analysis and Stereology, 2011 Assessment of the weathering of a particular limestone, the tuffeau, used in historical monuments requires an accurate description of its microstructure. An efficient tools to obtain such a description is X-ray microtomography.
Emmanuel Le Trong +3 more
doaj +1 more source
A segment-to-segment contact strategy
Mathematical and Computer Modelling, 1998 In this paper, a method is proposed to define the geometrical contact constraints. Within this treatment one has the possibility to define locally the contact parameters for an accurate treatment of contact constraints. Local values of the geometrical variables can be determined at the integration points, hence the method permits to integrate contact ...
ZAVARISE, Giorgio, Wriggers P.
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EvoDevo, 2013 Animals have been described as segmented for more than 2,000 years, yet a precise definition of segmentation remains elusive. Here we give the history of the definition of segmentation, followed by a discussion on current controversies in defining a segment. While there is a general consensus that segmentation involves the repetition of units along the
Nipam H. Patel +2 more
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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2019 The state-of-the-art models for medical image segmentation are variants of U-Net and fully convolutional networks (FCN). Despite their success, these models have two limitations: (1) their optimal depth is apriori unknown, requiring extensive ...
Zongwei Zhou +3 more
semanticscholar +1 more source