Swin-HSSAM: A green coffee bean grading method by Swin transformer. [PDF]
PLoS ONEA novel shifted window (Swin) Transformer coffee bean grading model called Swin-HSSAM has been proposed to address the challenges of accurately classifying green coffee beans and low identification accuracy.
Yujie Jiao +9 more
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Face-based age estimation using improved Swin Transformer with attention-based convolution [PDF]
Frontiers in Neuroscience, 2023 Recently Transformer models is new direction in the computer vision field, which is based on self multihead attention mechanism. Compared with the convolutional neural network, this Transformer uses the self-attention mechanism to capture global ...
Chaojun Shi +6 more
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Quantum integration in swin transformer mitigates overfitting in breast cancer screening [PDF]
Scientific ReportsTo 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).
Zongyu Xie +11 more
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Residual swin transformer for classifying the types of cotton pests in complex background [PDF]
Frontiers in Plant ScienceBackgroundCotton pests have a major impact on cotton quality and yield during cotton production and cultivation. With the rapid development of agricultural intelligence, the accurate classification of cotton pests is a key factor in realizing the precise
Ting Zhang +9 more
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Automated heart disease detection using Swin Transformer and ECG signal processing: a high-accuracy approach [PDF]
Scientific ReportsCardiovascular diseases (CVDs) are a leading cause of global mortality, necessitating early and accurate detection to improve patient outcomes. Electrocardiography (ECG) is a fundamental diagnostic tool for identifying cardiac abnormalities; however ...
Muhammad Faisal Abrar +6 more
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Tooth Type Enhanced Transformer for Children Caries Diagnosis on Dental Panoramic Radiographs
Diagnostics, 2023 The objective of this study was to introduce a novel deep learning technique for more accurate children caries diagnosis on dental panoramic radiographs.
Xiaojie Zhou +6 more
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Transformer-based ripeness segmentation for tomatoes
Smart Agricultural Technology, 2023 With the recent development of computer vision technology, various computer vision techniques have been applied to agriculture. Recently, the Transformer network has been introduced to image recognition, which allows a different approach to extracting ...
Risa Shinoda +3 more
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Swin Transformer Assisted Prior Attention Network for Medical Image Segmentation
Applied Sciences, 2022 Transformer complements convolutional neural network (CNN) has achieved better performance than improved CNN-based methods. Specially, Transformer is utilized to be combined with U-shaped structure, skip-connections, encoder, and even them all together ...
Zhihao Liao, Neng Fan, Kai Xu
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Entropy, 2022 Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images. However, restricted by the fixed receptive field of convolution operation, convolution-based models cannot directly obtain ...
Yufen Xu, Shangbo Zhou, Yuhui Huang
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STHarDNet: Swin Transformer with HarDNet for MRI Segmentation
Applied Sciences, 2022 In magnetic resonance imaging (MRI) segmentation, conventional approaches utilize U-Net models with encoder–decoder structures, segmentation models using vision transformers, or models that combine a vision transformer with an encoder–decoder model ...
Yeonghyeon Gu +2 more
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