Results 1 to 10 of about 719,917 (315)

Segmenter: Transformer for Semantic Segmentation [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Image segmentation is often ambiguous at the level of individual image patches and requires contextual information to reach label consensus. In this paper we introduce Segmenter, a transformer model for semantic segmentation. In contrast to convolution-based methods, our approach allows to model global context already at the first layer and throughout ...
Strudel, Robin   +3 more
openaire   +6 more sources

Segmentation of the nucleus without segmentation of the protoplasm

open access: greenArchiv für Entwicklungsmechanik der Organismen, 1896
1. Bringt man Seeigeleier in Seewasser, dessen Koncentration durch Zusatz von MgCl2 oder NaCl erhoht ist, so fahrt, bei richtiger Auswahl der Koncentration, der Kern fort sich zu theilen, wahrend das Protoplasma sich nicht theilt. Solche Eier zerfallen, wenn man sie in normales Seewasser zuruckbringt, auf einmal in eine der Zahl der praformirten ...
W. W. Norman
openaire   +4 more sources

Questing in city promotion on the example of the city of Częstochowa [PDF]

open access: yesInnovative Marketing, 2018
Gamification, storytelling and questing are the latest discoveries of marketing that are used for customers’ attraction. The implementation of new methods for promoting the city of Częstochowa is a vital aspect in tourism development.
Agnieszka Widawska-Stanisz
doaj   +2 more sources

Masked-attention Mask Transformer for Universal Image Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Image segmentation groups pixels with different semantics, e.g., category or instance membership. Each choice of semantics defines a task. While only the semantics of each task differ, current research focuses on designing spe-cialized architectures for ...
Bowen Cheng   +4 more
semanticscholar   +1 more source

Specifics of the use of text categories in the texts of court decisions (based on the decision of the Supreme Court of Great Britain in the case «Perry v Raleys Solicitors») [PDF]

open access: yesАктуальные проблемы филологии и педагогической лингвистики, 2020
The article discusses the specifics of the implementation of textual categories of connectedness, informativeness, segmentation, retrospection and modality in the texts of court decisions (based on the decision of the Supreme Сourt of Great Britain in ...
Suetina Olesya G.
doaj   +1 more source

Cerebral Microbleed Automatic Detection System Based on the “Deep Learning”

open access: yesFrontiers in Medicine, 2022
ObjectiveTo validate the reliability and efficiency of clinical diagnosis in practice based on a well-established system for the automatic segmentation of cerebral microbleeds (CMBs).MethodThis is a retrospective study based on Magnetic Resonance Imaging-
Pingping Fan   +21 more
doaj   +1 more source

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit.
Liang-Chieh Chen   +4 more
semanticscholar   +1 more source

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2016
Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessarily voluminous and causes issues. In
C. Qi, Hao Su, Kaichun Mo, L. Guibas
semanticscholar   +1 more source

Dual Attention Network for Scene Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2018
In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale features fusion, we propose a Dual Attention Networks (DANet)
J. Fu   +4 more
semanticscholar   +1 more source

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