Results 31 to 40 of about 719,917 (315)
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
Text Segmentation by Cross Segment Attention [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer-based architectures and provide comprehensive comparisons with previously proposed approaches
Gonçalo Simões +3 more
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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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Frontiers in Neuroscience, 2020 PurposePrecise quantification of cerebral arteries can help with differentiation and prognostication of cerebrovascular disease. Existing image processing and segmentation algorithms for magnetic resonance angiography (MRA) are limited to the analysis of
Sivakami Avadiappan +6 more
doaj +1 more source
Instance Segmentation as Image Segmentation Annotation [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
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Intelligent Objective Osteon Segmentation Based on Deep Learning
Frontiers in Earth Science, 2022 Histology is key to understand physiology, development, growth and even reproduction of extinct animals. However, the identification and interpretation of certain structures, such as osteons, medullary bone (MB), and Lines of Arrested Growth (LAGs), are ...
Zichuan Qin +4 more
doaj +1 more source
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
Segmenting discourse: Incorporating interpretation into segmentation? [PDF]
Corpus Linguistics and Linguistic Theory, 2018 AbstractDiscourse segmentation is an important step in the process of annotating coherence relations. Ideally, implementing segmentation rules results in text segments that correspond to the units of thought related to each other. This paper demonstrates that accurate segmentation is in part dependent on the propositional content of text fragments, and
Hoek, J. +2 more
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On the Segmentation of Markets [PDF]
Journal of Political Economy, 2007 This paper endogenizes the market structure of an economy with heterogeneous agents who want to form bilateral matches in the presence of search frictions and when utility is nontransferable. There exist infinitely many marketplaces, and each agent chooses which marketplace to be in: agents get to choose not only whom to match with but also whom they ...
Jacquet, Nicolas Laurent +1 more
openaire +5 more sources