Results 1 to 10 of about 1,001,459 (337)
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers [PDF]
Computer Vision and Pattern Recognition, 2020 Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more abstract/semantic visual concepts with larger receptive ...
Sixiao Zheng +10 more
semanticscholar +1 more source
Оптимизационный подход к выбору методов обнаружения аномалий в однородных текстовых коллекциях
Информатика и автоматизация, 2021 Рассматривается задача обнаружения аномальных документов в текстовых коллекциях. Существующие методы выявления аномалий не универсальны и не показывают стабильный результат на разных наборах данных.
Fedor Krasnov +2 more
doaj +1 more source
Digital Humanities in the Nordic and Baltic Countries Publications, 2022 This paper presents WarMemoirSampo, a portal that provides semantic search and navigation of video interviews with Finnish World War II veterans.
Rafael Leal +6 more
doaj +1 more source
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).
Ting-Chun Wang +5 more
semanticscholar +1 more source
Journal of Biomedical Semantics, 2022 Background The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across different trials. This can be facilitated and partially automatized by information extraction systems.
Olivia Sanchez-Graillet +3 more
doaj +1 more source
Interactive Search on the Web: The Story So Far
Information, 2022 Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages.
Sareh Aghaei +5 more
doaj +1 more source
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]
IEEE 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
Semantic Relevance and Semantic Disorders [PDF]
Journal of Cognitive Neuroscience, 2004 Abstract Semantic features are of different importance in concept representation. The concept elephant may be more easily identified from the feature <trunk> than from the feature <four legs>. We propose a new model of semantic memory to measure the relevance of semantic features for a concept and use this ...
SARTORI, GIUSEPPE, LOMBARDI L.
openaire +4 more sources
The Cityscapes Dataset for Semantic Urban Scene Understanding [PDF]
Computer Vision and Pattern Recognition, 2016 Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, especially in the context of deep learning.
Marius Cordts +8 more
semanticscholar +1 more source
Segmenter: Transformer for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 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.
Robin Strudel +3 more
semanticscholar +1 more source