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Research on person re-identification based on multi-level attention model
Person Re-identification (ReID) is an important research direction in the field of pattern recognition, which aims to retrieve the same pedestrian in...
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A light-weight quantum self-attention model for classical data classification
As an interdisciplinary field combining quantum computation and machine learning, Quantum Machine Learning (QML) has shown the potential to...
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Masked co-attention model for audio-visual event localization
The objective of Audio-Visual Event Localization (AVEL) is to leverage audio and video cues in a combined manner to localize video segments that...
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Optimization model based on attention mechanism for few-shot image classification
Deep learning has emerged as the leading approach for pattern recognition, but its reliance on large labeled datasets poses challenges in real-world...
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Transformer model incorporating local graph semantic attention for image caption
Aiming at the problem of isolating semantic information of existing transformer-based models in the image captioning tasks, a transformer model...
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WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection
Construction robots have conquered the indoor and outdoor building decoration fields, aiming to automatically accomplish the manually performed tasks...
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A personalized recommendation model with multimodal preference-based graph attention network
Graph neural networks (GNNs) have indeed shown significant potential in the field of personalized recommendation. The core approach is to reorganize...
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Urban traffic forecasting using attention based model with GCN and GRU
Now-a-days since number of vehicles are growing day by day on the roads in urban and metropolitan area, hence traffic jam is becoming very common...
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GCAM: Gaussian and causal-attention model of food fine-grained recognition
Currently, most food recognition relies on deep learning for category classification. However, these approaches struggle to effectively distinguish...
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Finding the reference text in citation contexts using attention model
Precise reference text extraction from citation contexts (CCs) is important in computational linguistics and information retrieval applications. The...
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An Efficient Approach Based on Attention ConvMixer Model for Lung Segmentation
Precise segmentation of CXR lung images serves as the foundation for an automated system for analysing lung X-rays images. This segmentation process...
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Multiclass environmental sound classification model based on adding residual connections to self-attention layers
Environmental Sound Classification (ESC) is a challenging and crucial task with various important real-world applications. Challenges arise from both...
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Semantic segmentation of brain tumor images using attention-based residual light u-net model
Accurate segmentation of brain tumor regions in MRI images is essential for monitoring tumor growth. In view of this, several automated brain tumor...
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Feature channel interaction long-tailed image classification model based on dual attention
In the real world, the data distribution often presents a long tail distribution, and the imbalance of data will lead to the model learning bias to...
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An unsupervised opinion summarization model fused joint attention and dictionary learning
Unsupervised opinion summarization is the technique of automatically generates summaries without gold reference, and the summaries that reflects...
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Lightweight modified attention based deep learning model for cassava leaf diseases classification
The primary cause of decline in cassava production are various diseases on cassava leaves. It has direct adverse impact on farmers’ income. The...
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Audio-visual scene recognition using attention-based graph convolutional model
Scene recognition aims to automatically comprehend scenes, and is widely utilized in various fields such as autonomous driving, intelligent security,...
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Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification
Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) based text classification algorithms currently in use can successfully extract...
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A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification
Aspect based sentiment analysis (ABSA) manifests the well refined work as Aspect-level sentiment classification (ASC) due to recent high attention...
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Residual attention UNet GAN Model for enhancing the intelligent agents in retinal image analysis
A unique method for improving the intelligent agents in retinal image processing is the proposed RAUGAN (Residual Attention UNet GAN) model....
