Results 61 to 70 of about 423,040 (338)
Multi-scale semantic enhancement network for object detection
Scientific Reports, 2023 In the field of object detection, feature pyramid network (FPN) can effectively extract multi-scale information. However, the majority of FPN-based methods suffer from a semantic gap between features of various sizes before feature fusion, which can lead
Dongen Guo +3 more
doaj +1 more source
Keyframe image processing of semantic 3D point clouds based on deep learning
Frontiers in Neurorobotics, 2023 With the rapid development of web technologies and the popularity of smartphones, users are uploading and sharing a large number of images every day. Therefore, it is a very important issue nowadays to enable users to discover exactly the information ...
Junxian Wang +6 more
doaj +1 more source
A Bridge from Semantic Value to Content [PDF]
, 2017 A common view relating compositional semantics and the objects of assertion holds the following: Sentences φ and ψ expresses the same proposition iff φ and ψ have the same modal profile.
Rabern, Brian
core +2 more sources
Image Understanding by Socializing the Semantic Gap [PDF]
, 2018 Several technological developments like the Internet, mobile devices and Social Networks have spurred the sharing of images in unprecedented volumes, making tagging and commenting a common habit. Despite the recent progress in image analysis, the problem of Semantic Gap still hinders machines in fully understand the rich semantic of a shared photo.
openaire +6 more sources
Ontology-Driven Semantic Enrichment Framework for Open Data Value Creation
Data Science Journal, 2023 The reviewed semantic enrichment frameworks lack mechanisms to assess the degree of semantic value added to flat-text resources in terms of knowledge and semantic capabilities.
Oarabile Sebubi +2 more
doaj +1 more source
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval [PDF]
arXiv, 2022 This paper addresses the problem of semantic-based image retrieval of natural scenes. A typical content-based image retrieval system deals with the query image and images in the dataset as a collection of low-level features and retrieves a ranked list of images based on the similarities between features of the query image and features of images in the ...
arxiv
Ontologies to interpret remote sensing images: why do we need them?
GIScience & Remote Sensing, 2019 The development of new sensors and easier access to remote sensing data are significantly transforming both the theory and practice of remote sensing. Although data-driven approaches based on innovative algorithms and enhanced computing capacities are ...
Damien Arvor +4 more
doaj +1 more source
Big Data and Cognitive Computing, 2019 In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules.
Soumaya Trabelsi Ben Ameur +3 more
doaj +1 more source
Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation [PDF]
arXiv, 2023 Human beings have rich ways of emotional expressions, including facial action, voice, and natural languages. Due to the diversity and complexity of different individuals, the emotions expressed by various modalities may be semantically irrelevant. Directly fusing information from different modalities may inevitably make the model subject to the noise ...
arxiv
Phonology, Semantics, and the Comprehension–Expression Gap in Emerging Lexicons [PDF]
Journal of Speech, Language, and Hearing Research, 2019 Purpose Children come to understand many words by the end of their 1st year of life, and yet, generally by 12 months, only a few words are said. In this study, we investigated which linguistic factors contribute to this comprehension–expression gap the most.
Stokes, S.F. +4 more
openaire +5 more sources