Results 11 to 20 of about 8,876 (216)

Sparseswin: Swin Transformer with Sparse Transformer Block

Neurocomputing, 2023
Advancements in computer vision research have put transformer architecture as the state of the art in computer vision tasks. One of the known drawbacks of the transformer architecture is the high number of parameters, this can lead to a more complex and inefficient algorithm.
Krisna Pinasthika, Blessius Sheldo Putra Laksono, Riyandi Banovbi Putera Irsal, Syifa Hukma Shabiyya, Novanto Yudistira   +4 more
openaire   +3 more sources

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
doaj   +2 more sources

SwiFT: Swin 4D fMRI Transformer

Advances in Neural Information Processing Systems 36, 2023
Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing approaches for fMRI analysis utilize hand-crafted features, but the process of feature extraction risks losing essential information in fMRI scans.
Peter Yongho Kim, Junbeom Kwon 0002, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon   +8 more
core   +5 more sources

Sq-Swin: Siamese Quadratic Swin Transformer for Lettuce Browning Prediction

IEEE Access, 2023
Enzymatic browning is a major quality defect of packaged “ready-to-eat” fresh-cut lettuce salads. While there have been many research and breeding efforts to counter this problem, progress is hindered by the lack of a technology to identify and quantify browning rapidly, objectively, and reliably. Here, we report a deep learning model for
Dayang Wang, Boce Zhang, Yongshun Xu, Yaguang Luo, Hengyong Yu   +4 more
openaire   +3 more sources

Swin–MRDB: Pan-Sharpening Model Based on the Swin Transformer and Multi-Scale CNN

Applied Sciences, 2023
Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs
Zifan Rong, Xuesong Jiang, Linfeng Huang, Hongping Zhou   +3 more
doaj   +2 more sources

Classification of Solar Radio Spectrum Based on Swin Transformer

Universe, 2022
Solar radio observation is a method used to study the Sun. It is very important for space weather early warning and solar physics research to automatically classify solar radio spectrums in real time and judge whether there is a solar radio burst. As the
Jian Chen, Guowu Yuan, Hao Zhou, Chengming Tan, Lei Yang, Siqi Li   +5 more
doaj   +2 more sources

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, Chaojun Shi, Shiwei Zhao, Ke Zhang, Ke Zhang, Yibo Wang, Longping Liang   +6 more
doaj   +2 more sources

Center Point Target Detection Algorithm Based on Improved Swin Transformer [PDF]

Jisuanji kexue
Aiming at the shortcomings of Swin Transformer in extracting local feature information and expressing features,this paper proposes a center point target detection algorithm based on improved Swin Transformer to improve its performance in target detection.
LIU Jiasen, HUANG Jun
doaj   +2 more sources

Classification and Model Explanation of Traditional Dwellings Based on Improved Swin Transformer

Buildings
The extraction of features and classification of traditional dwellings plays significant roles in preserving and ensuring the sustainable development of these structures.
Shangbo Miao, Chenxi Zhang, Yushun Piao, Yalin Miao   +3 more
doaj   +2 more sources

Water index and Swin Transformer Ensemble (WISTE) for water body extraction from multispectral remote sensing images

GIScience & Remote Sensing, 2023
Automatic surface water body mapping using remote sensing technology is greatly meaningful for studying inland water dynamics at regional to global scales.
Donghui Ma, Liguang Jiang, Jie Li, Yun Shi   +3 more
doaj   +3 more sources