Results 31 to 40 of about 1,357,046 (311)
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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Segmentation by transduction [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statistical transductive inference, in which some pixels are already associated with given zones and the remaining ones need to be classified.
Duchenne, Olivier +4 more
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Frontiers in Computer Science, 2022 Bioimage analysis workflows allow the measurement of sample properties such as fluorescence intensity and polarization, cell number, and vesicles distribution, but often require the integration of multiple software tools.
Rocco D’Antuono, Giuseppina Pisignano
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Segmentation of Discrete Curves into Fuzzy Segments
Electronic Notes in Discrete Mathematics, 2003 A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete straight lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered.
Debled-Rennesson, Isabelle +2 more
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Market research: Determinant of successful strategic marketing in financial organizations [PDF]
Marketing (Beograd. 1991), 2013 Market research provides an information inputs for business improvement by reducing risk of wrong strategic decisions in marketing area. Therefore, it presents significant competitive activity used as a base for the company's marketing strategies and ...
Domazet Ivana +2 more
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Segmentation-Aware Convolutional Networks Using Local Attention Masks [PDF]
, 2017 We introduce an approach to integrate segmentation information within a convolutional neural network (CNN). This counter-acts the tendency of CNNs to smooth information across regions and increases their spatial precision.
Derpanis, Konstantinos G. +2 more
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Classifier Directed Data Hybridization for Geographic Sample Supervised Segment Generation
Remote Sensing, 2014 Quality segment generation is a well-known challenge and research objective within Geographic Object-based Image Analysis (GEOBIA). Although methodological avenues within GEOBIA are diverse, segmentation commonly plays a central role in most approaches ...
Christoff Fourie, Elisabeth Schoepfer
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Remote Sensing, 2011 In order to better understand and exploit the rich information content of new remotely sensed datasets, there is a need for comparative land cover classification studies.
Kirsi Karila, Leena Matikainen
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The Ancestry of Segmentation [PDF]
Developmental Cell, 2003 Recent studies of segmentation in the spider suggest that the ancestral vertebrate and arthropod segmentation mechanisms utilized the Notch signaling pathway and bolster the argument that segmentation is an ancestral feature of all bilaterians.
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling
NeuroImageThis study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li +3 more
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