Results 21 to 30 of about 259,805 (294)
A semantic content analysis model for sports video based on perception concepts and finite state machines [PDF]
, 2007 In automatic video content analysis domain, the key challenges are how to recognize important objects and how to model the spatiotemporal relationships between them. In this paper we propose a semantic content analysis model based on Perception Concepts (
Bai, Liang +3 more
core +1 more source
Visual Floorplan Localization Based on BEV Perception [PDF]
Jisuanji kexueVisual floorplan localization task achieves pose estimation by matching visual observation with scene floorplan representation.In practical applications,how to effectively integrate geometric and semantic correlations between observation and floorplan in
CHEN Jiwei, CHEN Zebin, TAN Guang
doaj +1 more source
Matching Descriptions to Spatial Entities Using a Siamese Hierarchical Attention Network
IEEE Access, 2018 Spatial entity descriptions are written in natural language based on the observations and understanding of spatial entities and often contain rich semantic information beyond GIS systems. Therefore, entity descriptions must be related to spatial entities
Kai Ma +4 more
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Enhanced Text Matching Based on Semantic Transformation
IEEE Access, 2020 Text matching is the core of natural language processing (NLP) system. It's considered as a touchstone of the NLP, and it aims to find whether text pairs are equal in semantics. However, the semantic gap in text matching is still an open problem to solve.
Shutao Zhang +3 more
doaj +1 more source
An ontology for software component matching [PDF]
, 2007 Matching is a central activity in the discovery and assembly of reusable software components. We investigate how ontology technologies can be utilised to support software component development.
Pahl, Claus
core +1 more source
Prompt-Matched Semantic Segmentation
, 2022 The objective of this work is to explore how to effectively and efficiently adapt pre-trained visual foundation models to various downstream tasks of semantic segmentation. Previous methods usually fine-tuned the entire networks for each specific dataset, which will be burdensome to store massive parameters of these networks.
Liu, Lingbo +5 more
openaire +2 more sources
Semantic Attribute Matching Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 We present semantic attribute matching networks (SAM-Net) for jointly establishing correspondences and transferring attributes across semantically similar images, which intelligently weaves the advantages of the two tasks while overcoming their limitations.
Kim, Seungryong +5 more
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Using Element Clustering to Increase the Efficiency of XML Schema Matching [PDF]
, 2006 Schema matching attempts to discover semantic mappings between elements of two schemas. Elements are cross compared using various heuristics (e.g., name, data-type, and structure similarity).
Jonker, Willem +2 more
core +3 more sources
Efficient Semantic Matching [PDF]
, 2005 We think of Match as an operator which takes two graph-like structures and produces a mapping between semantically related nodes. We concentrate on classifications with tree structures. In semantic matching, correspondences are discovered by translating the natural language labels of nodes into propositional formulas, and by codifying matching into a ...
Giunchiglia, Fausto +2 more
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Semantic match: Debugging feature attribution methods in XAI for healthcare
Proceedings of Machine Learning Research, 2023 The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explainable AI (XAI) and its promise to render AI devices more transparent and trustworthy.
Cina, G. +3 more
openaire +5 more sources