LAUSR

Traffic signal detection and classification in street views using an attention model

Sign Up to like & get
recommendations!
1 Published in 2018 at "Computational Visual Media"

DOI: 10.1007/s41095-018-0116-x

Abstract: Detecting small objects is a challenging task. We focus on a special case: the detection and classification of traffic signals in street views. We present a novel framework that utilizes a visual attention model to… read more here.

Keywords: traffic; detection; attention model; street views ... See more keywords

Attention in naïve psychology

Sign Up to like & get
recommendations!
1 Published in 2021 at "Cognition"

DOI: 10.1016/j.cognition.2020.104480

Abstract: In everyday life, mentalizing is nested in a rich context of cognitive faculties and background information that potentially contribute to its success. Yet, we know little about these modulating effects. Here we propose that humans… read more here.

Keywords: attention psychology; attention; attention model; psychology ... See more keywords

Multi-Gram CNN-Based Self-Attention Model for Relation Classification

Sign Up to like & get
recommendations!
0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2018.2888508

Abstract: Relation classification is a crucial ingredient in numerous information-extraction systems and has attracted a great deal of attention in recent years. Traditional approaches largely rely on feature engineering and suffer from the limitations of the… read more here.

Keywords: attention; attention model; multi gram; relation ... See more keywords

Weighted Optical Flow Prediction and Attention Model for Object Tracking

Sign Up to like & get
recommendations!
1 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2944649

Abstract: Object tracking has been a hot computer vision topic for many years. Although great process has been made, it still has large room to improve because of the complexity of the natural scene and the… read more here.

Keywords: model; optical flow; attention model; object tracking ... See more keywords

Conditionally Learn to Pay Attention for Sequential Visual Task

Sign Up to like & get
recommendations!
1 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2982571

Abstract: Sequential visual task usually requires to pay attention to its current interested object conditional on its previous observations. Different from popular soft attention mechanism, we propose a new attention framework by introducing a novel conditional… read more here.

Keywords: attention model; visual task; attention; pay attention ... See more keywords

Identifying COVID-19 Personal Health Mentions from Tweets Using Masked Attention Model

Sign Up to like & get
recommendations!
2 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3179808

Abstract: Twitter has been an important platform for people to discuss and share health-related information. It provides a massive amount of data for real-time monitoring of infectious diseases (such as COVID-19) and freeing disease-prevention organizations from… read more here.

Keywords: health; attention model; attention; personal health ... See more keywords

Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space

Sign Up to like & get
recommendations!
3 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3249783

Abstract: Summarization generates a brief and concise summary which portrays the main idea of the source text. There are two forms of summarization: abstractive and extractive. Extractive summarization chooses important sentences from the text to form… read more here.

Keywords: neural attention; text summarization; feature; attention model ... See more keywords

A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance

Sign Up to like & get
recommendations!
3 Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3206388

Abstract: Deep learning enhanced Internet of Things (IoT) is advancing the transformation toward smart manufacturing. Intelligent robot guidance is one of the most potential deep learning + IoT applications in the manufacturing industry. However, low costs,… read more here.

Keywords: robot guidance; fine grained; model; attention model ... See more keywords

Identification of Crown of Thorns Starfish (COTS) using Convolutional Neural Network (CNN) and attention model

Sign Up to like & get
recommendations!
2 Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0283121

Abstract: Coral reefs play important roles in the marine ecosystem, from providing shelter to aquatic lives to being a source of income to others. However, they are in danger from outbreaks of species like the Crown… read more here.

Keywords: thorns starfish; cnn; attention model; crown thorns ... See more keywords