Results 21 to 30 of about 1,001,459 (337)
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [PDF]
European Conference on Computer Vision, 2018 Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance.
Changqian Yu +5 more
semanticscholar +1 more source
CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2018 Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet) for obtaining such contextual information in a more effective and efficient way.
Zilong Huang +6 more
semanticscholar +1 more source
Analyzing the Lives of Finnish Academic People 1640–1899 in Nordic and Baltic Countries
Digital Humanities in the Nordic and Baltic Countries Publications, 2022 This paper shows how the newly published Linked Open Data (LOD) service and semantic portal “AcademySampo – Finnish Academic People 1640–1899” can be used for Digital Humanities (DH) research.
Petri Leskinen +2 more
doaj +1 more source
Deep visual-semantic alignments for generating image descriptions [PDF]
Computer Vision and Pattern Recognition, 2014 We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between language and visual data.
A. Karpathy, Li Fei-Fei
semanticscholar +1 more source
The Semantics of Semantic Annotation [PDF]
, 2002 Semantic metadata will playa significant role in the provision of the Semantic Web. Agents will need metadata that describes the content of resources in order to perform operations, such as retrieval, over those resources. In addition, if rich semantic metadata is supplied, those agents can then employreasoning over the metadata, enhancing their ...
Bechhofer, Sean +4 more
openaire +4 more sources
Building a Linked Open Data Portal of War Victims in Finland 1914–1922
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 This paper presents results from a project that publishes data about the war victims in Finland in 1914–22 as a Linked Open Data service and a portal of tools called WARVICTIMSAMPO 1914–22 to explore and analyze the data.
Heikki Rantala +5 more
doaj +1 more source
Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles [PDF]
PeerJ Computer Science, 2017 Purpose This paper introduces the Research Articles in Simplified HTML (or RASH), which is a Web-first format for writing HTML-based scholarly papers; it is accompanied by the RASH Framework, a set of tools for interacting with RASH-based articles.
Silvio Peroni +6 more
doaj +2 more sources
Knowledge Graph Based Hard Drive Failure Prediction
Sensors, 2022 The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have been
Tek Raj Chhetri +3 more
doaj +1 more source
Sensors, 2022 The enforcement of the GDPR in May 2018 has led to a paradigm shift in data protection. Organizations face significant challenges, such as demonstrating compliance (or auditability) and automated compliance verification due to the complex and dynamic ...
Tek Raj Chhetri +5 more
doaj +1 more source
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews [PDF]
Annual Meeting of the Association for Computational Linguistics, 2002 This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review
Peter D. Turney
semanticscholar +1 more source