AIMC Topic: Semantics

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Emotional-Health-Oriented Urban Design: A Novel Collaborative Deep Learning Framework for Real-Time Landscape Assessment by Integrating Facial Expression Recognition and Pixel-Level Semantic Segmentation.

International journal of environmental research and public health Oct 15, 2022
Emotional responses are significant for understanding public perceptions of urban green space (UGS) and can be used to inform proposals for optimal urban design strategies to enhance public emotional health in the times of COVID-19. However, most emp...
Humans COVID-19 Deep Learning Emotions Semantics Facial Recognition
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Multi-Aspect enhanced Graph Neural Networks for recommendation.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2022
Graph neural networks (GNNs) have achieved remarkable performance in personalized recommendation, for their powerful data representation capabilities. However, these methods still face several challenging problems: (1) the majority of user-item inter...
Neural Networks, Computer Learning Cognition Semantics
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Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images.

Computers in biology and medicine Oct 14, 2022
The segmentation of cervical cytology images plays an important role in the automatic analysis of cervical cytology screening. Although deep learning-based segmentation methods are well-developed in other image segmentation areas, their application i...
Algorithms Deep Learning Image Processing, Computer-Assisted Semantics
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Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.

Computational intelligence and neuroscience Oct 14, 2022
Semantic segmentation based on deep learning has undergone remarkable advancements in recent years. However, due to the neglect of the shallow features, the problems of inaccurate segmentation have persisted. To address this issue, a semantic segment...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Semantics
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E-DU: Deep neural network for multimodal medical image segmentation based on semantic gap compensation.

Computers in biology and medicine Oct 12, 2022
BACKGROUND: U-Net includes encoder, decoder and skip connection structures. It has become the benchmark network in medical image segmentation. However, the direct fusion of low-level and high-level convolution features with semantic gaps by tradition...
Neural Networks, Computer Benchmarking Semantics
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Adaptive Multi-ROI Agricultural Robot Navigation Line Extraction Based on Image Semantic Segmentation.

Sensors (Basel, Switzerland) Oct 11, 2022
Automated robots are an important part of realizing sustainable food production in smart agriculture. Agricultural robots require a powerful and precise navigation system to be able to perform tasks in the field. Aiming at the problems of complex ima...
Image Processing, Computer-Assisted Agriculture Robotics Crops, Agricultural Semantics
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Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 10, 2022
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model. Fundamental limitations remain, however, that impede the pace of understanding ...
Neural Networks, Computer Artificial Intelligence Algorithms Semantics
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MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection.

Computational intelligence and neuroscience Oct 10, 2022
Salient Object Detection (SOD) simulates the human visual perception in locating the most attractive objects in the images. Existing methods based on convolutional neural networks have proven to be highly effective for SOD. However, in some cases, th...
Humans Neural Networks, Computer Benchmarking Attention Semantics Visual Perception
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ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.

Psychological review Oct 6, 2022
Quantitative, data-driven models for mental representations have long enjoyed popularity and success in psychology (e.g., distributional semantic models in the language domain), but have largely been missing for the visual domain. To overcome this, w...
Humans Neural Networks, Computer Artificial Intelligence Computers Semantics Judgment
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A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set.

Computational intelligence and neuroscience Oct 6, 2022
Text classification plays an important role in many practical applications. In the real world, there are extremely small datasets. Most existing methods adopt pretrained neural network models to handle this kind of dataset. However, these methods are...
Neural Networks, Computer Language Deep Learning Semantics
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