Results 191 to 200 of about 206,029 (232)

Capuchin Red Kite–optimized Swin Transformer-based Convolutional Block Attention Module for Early Diagnosis and Classification of Pneumonia [PDF]

Curr Med Imaging
Sikindar S, Raghavendran CV, Madhavi G.
europepmc   +1 more source

A novel Swin transformer based framework for speech recognition for dysarthria. [PDF]

Sci Rep
Mahum R, Ganiyu I, Hidri L, El-Sherbeeny AM, Hassan H.   +4 more
europepmc   +1 more source

Automated heart disease detection using Swin Transformer and ECG signal processing: a high-accuracy approach. [PDF]

Sci Rep
Abrar MF, Saqib M, Ali S, Lee IE, Khan A, Jan S, Alkhayyat A.   +6 more
europepmc   +1 more source

Benchmark-Driven Clinical Decision Framework for Multi-Class Middle Ear Disease Diagnosis: Superiority of Swin Transformer in Accuracy and Stability. [PDF]

Diagnostics (Basel)
Chen G, Zhang H, Zeng J, Cai Y, Huang D, Chen Y, Li P, Zheng Y.   +7 more
europepmc   +1 more source

Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects

Expert Systems With Applications, 2022
Automatic surface defect detection is critical for manufacturing industries, such as steel, fabric, and marble industries. This study proposes a Swin transformer-based model called Multi-Feature Integration Network (Swin-MFINet) for pixel-level surface ...
Berrin Yanıkoğlu, Huseyin Üzen, Muammer Türkoğlu   +2 more
exaly   +2 more sources

Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on an Improved Swin Transformer

Electronics, 2023
With the advancement of computer technology, transformer models have been applied to the field of computer vision (CV) after their success in natural language processing (NLP).
Ruina Sun, Wenfa Li
exaly   +2 more sources

Swin-FER: Swin Transformer for Facial Expression Recognition

Applied Sciences (Switzerland)
The ability of transformers to capture global context information is highly beneficial for recognizing subtle differences in facial expressions. However, compared to convolutional neural networks, transformers require the computation of dependencies between each element and all other elements, leading to high computational complexity. Additionally, the
Mei Bie, Xiangjiu Che, Kai Song
exaly   +3 more sources

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Swin Transformer for Color Constancy

Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City, 2022
Guanghui Fu, Tong Li, Kai Xie, Mengyao Yang   +3 more
openaire   +1 more source

A data efficient transformer based on Swin Transformer

The Visual Computer, 2023
Dazhi Yao, Yunxue Shao
openaire   +2 more sources