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Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer. [PDF]

BMC Med Imaging
Wang X, Wu H, Wang L, Chen J, Li Y, He X, Chen T, Wang M, Guo L.   +8 more
europepmc   +1 more source

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

Random Swin Transformer

2022 22nd International Conference on Control, Automation and Systems (ICCAS), 2022
Keong-Hun Choi, Jong-Eun Ha
openaire   +1 more source

Swin transformer-based supervised hashing

Applied Intelligence, 2023
Liangkang Peng, Jiangbo Qian, Chong Wang 0001, Baisong Liu, Yihong Dong   +4 more
openaire   +2 more sources

CCST: crowd counting with swin transformer

The Visual Computer, 2022
Bo Li 0128, Yong Zhang 0029, Haihui Xu, Baocai Yin   +3 more
openaire   +1 more source

Underwater Object Detection with Swin Transformer

2022 4th International Conference on Data Intelligence and Security (ICDIS), 2022
Yuqi Sun, Xuan Wang 0002, Yi Zheng, Lin Yao 0004, Shuhan Qi, Linlin Tang, Hong Yi, Kunlei Dong   +7 more
openaire   +2 more sources

Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection

Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023
Chenyu Wang, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami   +3 more
openaire   +2 more sources

Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition

Neural Processing Letters, 2023
Tiansheng Chen, Lingfei Mo
openaire   +2 more sources