Combining Swin Transformer and Attention-Weighted Fusion for Scene Text Detection
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11501-7
Abstract: The existing text detection algorithms based on Convolutional Neural Networks (CNN) commonly have the problems of insufficient receptive fields and inadequate extraction of spatial positional information, which limit their ability to detect large-scale variation text… read more here.
Keywords: attention weighted; swin transformer; text detection; attention ... See more keywords
Domain generalized recaptured screen image identification using SWIN transformer
Sign Up to like & getrecommendations! Published in 2024 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-025-04314-1
Abstract: An increasing number of classification approaches have been developed to address the issue of image rebroadcast and recapturing, a standard attack strategy in insurance frauds, face spoofing, and video piracy. However, most of them neglected… read more here.
Keywords: transformer domain; swin transformer; image; domain generalized ... See more keywords
An enhanced Swin Transformer for soccer player reidentification
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DOI: 10.1038/s41598-024-51767-4
Abstract: The re-identification (ReID) of objects in images is a widely studied topic in computer vision, with significant relevance to various applications. The ReID of players in broadcast videos of team sports is the focus of… read more here.
Keywords: enhanced swin; swin transformer; extraction; transformer ... See more keywords
Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-73297-9
Abstract: Dental disorders are common worldwide, causing pain or infections and limiting mouth opening, so dental conditions impact productivity, work capability, and quality of life. Manual detection and classification of oral diseases is time-consuming and requires… read more here.
Keywords: bagging ensemble; diagnosis; swin transformer; mobilenetv2 ... See more keywords
Kangba Region of Sichuan based on swin transformer visual model research on the identification of facades of ethnic buildings
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DOI: 10.1038/s41598-024-78774-9
Abstract: The protection and restoration of existing buildings requires accurate acquisition of the characteristics of the building facade. The complex, diverse, and irregular distribution characteristics of the building facade components of ethnic minorities have led to… read more here.
Keywords: transformer visual; swin transformer; based swin; research ... See more keywords
A deep learning model for early diagnosis of alzheimer’s disease combined with 3D CNN and video Swin transformer
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DOI: 10.1038/s41598-025-05568-y
Abstract: Alzheimer’s disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geriatric population. If AD can be diagnosed early, both in terms of prevention and treatment, it is very beneficial to patients. Therefore, our team… read more here.
Keywords: deep learning; alzheimer disease; video swin; swin transformer ... See more keywords
ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-08673-0
Abstract: The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop… read more here.
Keywords: plant diseases; swin transformer; plant; model ... See more keywords
A swin transformer-based hybrid reconstruction discriminative network for image anomaly detection
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DOI: 10.1038/s41598-025-10303-8
Abstract: Industrial anomaly detection algorithms based on Convolutional Neural Networks (CNN) often struggle with identifying small anomaly regions and maintaining robust performance in noisy industrial environments. To address these limitations, this paper proposes the Swin Transformer-Based… read more here.
Keywords: detection; swin transformer; image; reconstruction ... See more keywords
Dual-model approach for accurate chest disease detection using GViT and swin transformer V2
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DOI: 10.1038/s41598-025-16422-6
Abstract: The precise detection and localization of abnormalities in radiological images are very crucial for clinical diagnosis and treatment planning. To build reliable models, large and annotated datasets are required that contain disease labels and abnormality… read more here.
Keywords: detection; dual model; model approach; swin transformer ... See more keywords
Quantum integration in swin transformer mitigates overfitting in breast cancer screening
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DOI: 10.1038/s41598-025-17075-1
Abstract: To explore the potential of quantum computing in advancing transformer-based deep learning models for breast cancer screening, this study introduces the Quantum-Enhanced Swin Transformer (QEST). This model integrates a Variational Quantum Circuit (VQC) to replace… read more here.
Keywords: breast cancer; swin transformer; transformer; cancer screening ... See more keywords
Hybrid-attention-based Swin-Transformer super-resolution reconstruction for tomographic particle image velocimetry
Sign Up to like & getrecommendations! Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0210064
Abstract: Research on three-dimensional (3D) flow velocity fields holds significant importance in aerodynamic performance design, energy power, and biomedicine. Nevertheless, current techniques for measuring three-dimensional flow velocity fields, such as tomographic particle image velocimetry (Tomo-PIV), have… read more here.
Keywords: swin transformer; tomographic particle; attention; reconstruction ... See more keywords