UAV-based intelligent traffic surveillance using recurrent neural networks and Swin transformer for dynamic environments. [PDF]
Alshehri M +6 more
europepmc +1 more source
ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases. [PDF]
Yu S, Xie L, Dai L.
europepmc +1 more source
Medical image segmentation by combining feature enhancement Swin Transformer and UperNet. [PDF]
Zhang L, Yin X, Liu X, Liu Z.
europepmc +1 more source
SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising. [PDF]
Li X +5 more
europepmc +1 more source
Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height. [PDF]
Wang P, Feng Y, Sun X, Cheng X.
europepmc +1 more source
Innovative patient-specific delivered-dose prediction for volumetric modulated arc therapy using lightweight Swin-Transformer. [PDF]
Zhou Y, Gong C, Jian J, Zhang Y.
europepmc +1 more source
A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer. [PDF]
Zhou J +6 more
europepmc +1 more source
Low resolution remote sensing object detection with fine grained enhancement and swin transformer. [PDF]
Xu Z, Wang X, Huang K, Chen R.
europepmc +1 more source
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
exaly +2 more sources

