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   Articles with "attention fusion" as a keyword



Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval

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recommendations! Published in 2025 at "Data Science and Engineering"

DOI: 10.1007/s41019-024-00274-7

Abstract: Although the fact that current methods have some effects, unsupervised cross-modal hashing methods still face several common challenges. First of all, the text features that have been collected from text data are not comprehensive enough… read more here.

Keywords: modal; attention fusion; matrix; similarity ... See more keywords

Multi-graph attention fusion graph neural network for remaining useful life prediction of rolling bearings

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad5de7

Abstract: Graph neural network (GNN) has the proven ability to learn feature representations from graph data, and has been utilized for the tasks of predicting the machinery remaining useful life (RUL). However, existing methods only focus… read more here.

Keywords: graph attention; multi graph; attention fusion; prediction ... See more keywords

BaAFN: A Boundary-Aware Attention Fusion Network for Remote Sensing Semantic Segmentation

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3594044

Abstract: The performance of remote sensing semantic segmentation on object boundaries and small objects continues to pose a significant challenge due to the semantics near them being complex and ambiguous. In this work, we propose the… read more here.

Keywords: segmentation; remote sensing; sensing semantic; attention fusion ... See more keywords

Convolutional Attention Fusion for RGBT Tracking

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3569477

Abstract: RGBT target tracking accomplishes the tracking task by fusing visible and thermal infrared information. The development of Convolutional Neural Networks (CNNs) and Transformer has greatly advanced this field. Most existing transformer-based trackers focus on global… read more here.

Keywords: attention fusion; attention; convolutional attention; rgbt tracking ... See more keywords

PSTAF-GAN: Progressive Spatio-Temporal Attention Fusion Method based on Generative Adversarial Network

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3161563

Abstract: Spatio-temporal fusion aims to integrate mul-ti-source remote sensing images with complementary high spatial and temporal resolutions, so as to obtain time-series high spatial resolution fused images. Currently, deep learning (DL)-based spatio-temporal fusion methods have received… read more here.

Keywords: fusion; spatio temporal; pstaf gan; temporal attention ... See more keywords

Multiscale Attention Fusion Graph Network for Remote Sensing Building Change Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3356711

Abstract: With the development of imaging systems and satellite technology, higher quality high-resolution remote sensing (RS) images are being applied in building change detection (BCD) techniques. Methods based on convolutional neural network (CNN) have achieved excellent… read more here.

Keywords: attention fusion; attention; remote sensing; network ... See more keywords

MAFNet: Segmentation of Road Potholes With Multimodal Attention Fusion Network for Autonomous Vehicles

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3200100

Abstract: Road potholes can cause discomforts to passengers and even traffic accidents to vehicles. Accurate segmentation of road potholes is an important capability for autonomous vehicles to ensure safe driving. Some methods on road-pothole segmentation use… read more here.

Keywords: road; network; segmentation; road potholes ... See more keywords

Multibit Attention Fusion for Gaze Estimation Using 12-Bit RAW Data From CMOS Sensors

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3568959

Abstract: In recent years, deep learning-based gaze estimation techniques using eye images have made significant progress. However, balancing prediction accuracy and computational complexity remains a challenge. In this article, we propose using the RAW data from… read more here.

Keywords: bit raw; attention fusion; gaze estimation; raw data ... See more keywords

WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution

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recommendations! Published in 2022 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3118282

Abstract: Despite the remarkable progresses achieved in depth map super-resolution (DSR), it remains a major challenge to tackle with real-world degradation of low-resolution (LR) depth maps. Synthetic datasets are mainly used in existing DSR approaches, which… read more here.

Keywords: attention fusion; resolution; weighted attention; depth ... See more keywords

Modality attention fusion model with hybrid multi-head self-attention for video understanding

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0275156

Abstract: Video question answering (Video-QA) is a subject undergoing intense study in Artificial Intelligence, which is one of the tasks which can evaluate such AI abilities. In this paper, we propose a Modality Attention Fusion framework… read more here.

Keywords: self attention; modality; attention; video ... See more keywords

CMDAF: Cross-Modality Dual-Attention Fusion Network for Multimodal Sentiment Analysis

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app142412025

Abstract: Multimodal sentiment analysis (MSA) seeks to predict subjective human sentiments by utilizing information from multiple modalities. It has been applied in diverse scenarios. Recent studies suggest that MSA benefits from integrating diverse modalities, emphasizing the… read more here.

Keywords: modality; fusion; attention fusion; cross modality ... See more keywords