AIMC Topic: Semantics

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A Highly Efficient Model to Study the Semantics of Salient Object Detection.

IEEE transactions on pattern analysis and machine intelligence Oct 4, 2022
CNN-based salient object detection (SOD) methods achieve impressive performance. However, the way semantic information is encoded in them and whether they are category-agnostic is less explored. One major obstacle in studying these questions is the f...
Algorithms Neural Networks, Computer Semantics
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Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.

IEEE transactions on pattern analysis and machine intelligence Oct 4, 2022
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., training accurate semantic segmentation models using bound...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Volatile Organic Compounds Semantics Attention Supervised Machine Learning Humans
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FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.

Computers in biology and medicine Oct 3, 2022
The performance of deep learning-based medical image segmentation methods largely depends on the segmentation accuracy of tissue boundaries. However, since the boundary region is at the junction of areas of different categories, the pixels located at...
Neural Networks, Computer Female Humans Semantics Image Processing, Computer-Assisted Breast Neoplasms
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Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches.

Sensors (Basel, Switzerland) Oct 2, 2022
Representation learning seeks to extract useful and low-dimensional attributes from complex and high-dimensional data. Natural language processing (NLP) was used to investigate the representation learning models to extract words' feature vectors usin...
Language Semantics Natural Language Processing
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MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation.

PloS one Sep 30, 2022
Low-level features contain spatial detail information, and high-level features contain rich semantic information. Semantic segmentation research focuses on fully acquiring and effectively fusing spatial detail with semantic information. This paper pr...
Gene Fusion Neural Networks, Computer Semantics Image Processing, Computer-Assisted
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Deciphering microbial gene function using natural language processing.

Nature communications Sep 29, 2022
Revealing the function of uncharacterized genes is a fundamental challenge in an era of ever-increasing volumes of sequencing data. Here, we present a concept for tackling this challenge using deep learning methodologies adopted from natural language...
Semantics Genes, Microbial Microbial Interactions Genomics Natural Language Processing
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Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.

European radiology Sep 28, 2022
OBJECTIVE: To develop and validate a deep learning (DL) signature for predicting lymph node (LN) metastasis in patients with lung adenocarcinoma.
Adenocarcinoma of Lung Semantics Lung Neoplasms Retrospective Studies Lymphatic Metastasis Deep Learning Tomography, X-Ray Computed Humans Lymph Nodes
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A Review on Multiscale-Deep-Learning Applications.

Sensors (Basel, Switzerland) Sep 28, 2022
In general, most of the existing convolutional neural network (CNN)-based deep-learning models suffer from spatial-information loss and inadequate feature-representation issues. This is due to their inability to capture multiscale-context information...
Diagnostic Imaging Semantics Deep Learning Algorithms Neural Networks, Computer
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Improved Monitoring of Wildlife Invasion through Data Augmentation by Extract-Append of a Segmented Entity.

Sensors (Basel, Switzerland) Sep 28, 2022
Owing to the continuous increase in the damage to farms due to wild animals' destruction of crops in South Korea, various methods have been proposed to resolve these issues, such as installing electric fences and using warning lamps or ultrasonic wav...
Deer Deep Learning Animals, Wild Semantics Animals
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Deep leaning-based ultra-fast stair detection.

Scientific reports Sep 27, 2022
Staircases are some of the most common building structures in urban environments. Stair detection is an important task for various applications, including the environmental perception of exoskeleton robots, humanoid robots, and rescue robots and the ...
Neural Networks, Computer Semantics Algorithms Humans
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