AIMC Topic: Semantics

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A Bi-level representation learning model for medical visual question answering.

Journal of biomedical informatics Aug 28, 2022
Medical Visual Question Answering (VQA) targets at answering questions related to given medical images and it contains tremendous potential in healthcare services. However, researches on medical VQA are still facing challenges, particularly on how to...
Machine Learning Delivery of Health Care Language Learning Semantics
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Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method.

Sensors (Basel, Switzerland) Aug 25, 2022
We proposed an automatic detection method of slope failure regions using a semantic segmentation method called Mask R-CNN based on a deep learning algorithm to improve the efficiency of damage assessment in the event of slope failure disaster. There ...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Semantics
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Self-reconfigurable robot vision pipeline for safer adaptation to varying pavements width and surface conditions.

Scientific reports Aug 25, 2022
This work presents the vision pipeline for our in-house developed autonomous reconfigurable pavement sweeping robot named Panthera. As the goal of Panthera is to be an autonomous self-reconfigurable robot, it has to understand the type of pavement it...
Algorithms Robotics Semantics
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Managing and Retrieving Bilingual Documents Using Artificial Intelligence-Based Ontological Framework.

Computational intelligence and neuroscience Aug 25, 2022
In recent times, artificial intelligence (AI) methods have been applied in document and content management to make decisions and improve the organization's functionalities. However, the lack of semantics and restricted metadata hinders the current do...
Artificial Intelligence Bayes Theorem Information Storage and Retrieval Semantics
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Semantic segmentation method of underwater images based on encoder-decoder architecture.

PloS one Aug 25, 2022
With the exploration and development of marine resources, deep learning is more and more widely used in underwater image processing. However, the quality of the original underwater images is so low that traditional semantic segmentation methods obtai...
Neural Networks, Computer Algorithms Research Design Image Processing, Computer-Assisted Semantics
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Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect.

Sensors (Basel, Switzerland) Aug 24, 2022
Binary object segmentation is a sub-area of semantic segmentation that could be used for a variety of applications. Semantic segmentation models could be applied to solve binary segmentation problems by introducing only two classes, but the models to...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Semantics
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Cosine similarity measures between q-rung orthopair linguistic sets and their application to group decision making problems.

Scientific reports Aug 24, 2022
The q-rung orthopair linguistic set (q-ROLS), a combined version of linguistic term sets and q-rung orthopair fuzzy set, is an efficient mathematical tool to accomplish the imprecise information while solving the decision-making problems. Under this ...
Algorithms Fuzzy Logic Decision Making Semantics Linguistics
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RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis.

Sensors (Basel, Switzerland) Aug 19, 2022
On a global scale, the process of automatic defect detection represents a critical stage of quality control in textile industries. In this paper, a semantic segmentation network using a repeated pattern analysis algorithm is proposed for pixel-level ...
Neural Networks, Computer Algorithms Supervised Machine Learning Semantics
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Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection.

IEEE transactions on cybernetics Aug 18, 2022
The superiority of deeply learned representations relies on large-scale labeled datasets. However, annotating data are usually expensive or even infeasible in some scenarios. To address this problem, we propose an unsupervised method to leverage inst...
Humans Neural Networks, Computer Semantics
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Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2022
Structural deep clustering involves the use of neural networks for fusing semantic and structural representations for clustering tasks, and it has been receiving increasing attention. In some pioneering works, auto-encoder (AE)-specific representatio...
Neural Networks, Computer Cluster Analysis Semantics
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