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TULAM: trajectory-user linking via attention mechanism
Recently, the application of location-based services (LBS) has become a prevalent means to provide convenience in customers’ everyday lives. However,...
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Rethinking the role of attention mechanism: a causality perspective
As the core technology of Transformers, the attention mechanism is almost indispensable. However, many experimental findings show that the models...
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Remote sensing image super-resolution based on cross residual compensation mechanism and attention mechanism
Image high-frequency information extraction plays a pivotal role in super-resolution (SR) reconstruction. The main motivation of this paper is to...
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Maritime object detection using attention mechanism
The implementation of object detection in the maritime domain plays a crucial role in safeguarding maritime security, ensuring navigation safety, and...
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Image Deblurring Using Feedback Mechanism and Dual Gated Attention Network
Recently, image deblurring task driven by the encoder-decoder network has made a tremendous amount of progress. However, these encoder-decoder-based...
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Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning
The introduction of the Attention mechanism by the Internet of Things—or WSN-IoT—in the sector has greatly enhanced the intrusion detection mechanism...
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Sarcasm detection based on BERT and attention mechanism
Sarcasm detection is a challenging task in sentiment analysis and is usually used to detect sarcasm by judging inconsistencies in the individual...
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Attention Mechanism-Based Adversarial Attack Against DRL
Deep Reinforcement Learning (DRL) seeks to optimize long-term future returns through learning policies based with deep learning models for achieving...
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Adaptive attention mechanism for single channel speech enhancement
The recent development of speech enhancement methods has incorporated attention mechanisms for learning long-term speech signal dependencies. The...
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Scene Text Detection Using HRNet and Spatial Attention Mechanism
AbstractTo better extract the features from text instances with various shapes, a scene text detector using High Resolution Net (HRNet) and spatial...
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CBMAFM: CNN-BiLSTM Multi-Attention Fusion Mechanism for sentiment classification
Sentiment classification, a crucial task in natural language processing, plays a significant role in deciphering sentiment expressions within textual...
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Point Cloud Registration Network Based on Convolution Fusion and Attention Mechanism
In 3D vision, point cloud registration remains a major challenge, especially in end-to-end deep learning, where low-quality point pairs will directly...
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Elemental Attention Mechanism-Guided Progressive Rain Removal Algorithm
De-rainy has become a pre-processing task for most computer vision systems. Combining recursive ideas to De-rainy models is currently popular. In...
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Cross-modal pedestrian re-recognition based on attention mechanism
Person re-identification, as an essential research direction in intelligent security, has gained the focus of researchers and scholars. In practical...
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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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Supervised abnormal event detection based on ChatGPT attention mechanism
Aiming at the problem of abnormal target occlusion and unclearness caused by insufficient light and different shooting angles during abnormal event...
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Attention mechanism-based generative adversarial networks for image cartoonization
As a common art form in daily life, cartoon images play an important role in the fields of movie production and science education. However,...
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Ethereum Public Opinion Analysis Based on Attention Mechanism
With the rapid development of Ethereum, vast amounts of data are recorded on the blockchain through transactions, encompassing diverse and extensive...
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ResNet Combined with Attention Mechanism for Genomic Deletion Variant Prediction
AbstractIn genetics and medical practice, structural variants (SV) in the genome are thought to be the root cause of numerous diseases, particularly...
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TSP Combination Optimization with Semi-local Attention Mechanism
The Traveling Salesman Problem (TSP) is a canonical NP-hard combinatorial optimization problem. The attention mechanism has shown promising...