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Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments
Mobile robot localization is an important task in navigation and can be challenging, especially in non-static environments as the scene naturally...
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A multi-label image classification method combining multi-stage image semantic information and label relevance
Multi-label image classification (MLIC) is a fundamental and highly challenging task in the field of computer vision. Most methods usually only focus...
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Dynamic Speed and Separation Monitoring Based on Scene Semantic Information
Human-robot collaboration (HRC) based on speed and separation monitoring should consider the difference of risk factors in the scene; otherwise, the...
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Learning exclusive discriminative semantic information for zero-shot learning
Zero-shot learning (ZSL) aims to recognize unseen classes relying on the knowledge transferred from seen categories. This study presents new methods...
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Bilateral network with rich semantic extractor for real-time semantic segmentation
Recently, owing to the requirements of inference speed, most real-time semantic segmentation networks often have shallow network depth, which limits...
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Semantic Relations and Information Discovery
The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
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A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions
Most data-based bearing fault intelligent diagnosis methods have assumed that all data is under the same working conditions. However, the fault data...
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Semantic rule-based information extraction for meteorological reports
Meteorological reports are one of the most important means of recording the weather conditions of a place over a period of time, and the existence of...
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AttenSy-SNER: software knowledge entity extraction with syntactic features and semantic augmentation information
Software knowledge community contains a large scale of software knowledge entity information, complex structure and rich semantic correlations. It is...
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Semantic Indexing and Fuzzy Relevance Model in Information Retrieval
Let us suppose that an information retrieval system comprehends the semantic content of documents and reflects the preferences of users. Then the...
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Using semantic Geometric Dimensioning and Tolerancing (GD &T) information from STEP AP242 neutral exchange files for robotic applications
This article proposes the use of Geometric Dimensioning and Tolerancing (GD &T) information from STEP AP242 for robotic manufacturing applications....
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Event detection algorithm based on label semantic encoding
One major challenge in event detection tasks is the lack of a large amount of annotated data. In a low-sample learning environment, effectively...
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Ship** RDF Model Construction and Semantic Information Retrieval
In the era of big data, China’s ship** industry is develo** rapidly, but the level of ship** information management is still at a low level,...
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Context vector-based visual mapless navigation in indoor using hierarchical semantic information and meta-learning
Visual mapless navigation (VMN), modeling a direct map** between sensory inputs and agent actions, aims to navigate from a stochastic origin...
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Long and short-range relevance context network for semantic segmentation
The semantic information can ensure better pixel classification, and the spatial information of the low-level feature map can ensure the detailed...
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Task-specific image summaries using semantic information and self-supervision
Large annotated datasets are needed for successful Deep Learning methodologies to achieve human-level performance. These needs restrict the impact of...
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Deep Learning Enabled Task-Oriented Semantic Communication for Memory-Limited Devices
In recent years, numerous achievements have been made in the field of deep learning, particularly in text processing. In the wave of intelligence,...
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Visual sentiment analysis with semantic correlation enhancement
Visual sentiment analysis is in great demand as it provides a computational method to recognize sentiment information in abundant visual contents...
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Bird’s-Eye View Semantic Segmentation and Voxel Semantic Segmentation Based on Frustum Voxel Modeling and Monocular Camera
The semantic segmentation of a bird’s-eye view (BEV) is crucial for environment perception in autonomous driving, which includes the static elements...
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Multi-Agent Cooperative Camera-Based Semantic Grid Generation
The idea of cooperative perception for navigation assistance was introduced about a decade ago with the aim to increase safety on dangerous areas...