Results 221 to 230 of about 24,887 (267)

Hybrid Vision Transformer-CNN Framework for Alzheimer's Disease Cell Type Classification: A Comparative Study with Vision-Language Models. [PDF]

J Imaging
Hasan ME, Fuad MTH, Sharif O, Wagler A.
europepmc   +1 more source

Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing. [PDF]

Sci Rep
Zhu W, Chen K.
europepmc   +1 more source

Early diagnosis of knee osteoarthritis severity using vision transformer. [PDF]

BMC Musculoskelet Disord
Panwar P, Chaurasia S, Gangrade J, Bilandi A.   +3 more
europepmc   +1 more source

Magnification-independent breast cancer diagnosis using a GWO-enhanced vision transformer with multi-stage stain normalization. [PDF]

Sci Rep
Fatma T, Sahu PK, Choudhury S, Wunnava A.   +3 more
europepmc   +1 more source

Predicting Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using a Vision Transformer and Hippocampal MRI Slices. [PDF]

Bioengineering (Basel)
Seiger R, Fierlinger P, Alzheimer’s Disease Neuroimaging Initiative.   +2 more
europepmc   +1 more source

AACNN-ViT: Adaptive Attention-Augmented Convolutional and Vision Transformer Fusion for Lung Cancer Detection. [PDF]

J Imaging
Rahman MI, Rahman A.
europepmc   +1 more source

A Survey on Vision Transformer [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation capabilities, researchers are looking at ways to apply transformer to computer vision tasks.
Xinghao Chen, Yunhe Wang, Jianyuan Guo   +2 more
exaly   +3 more sources

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Sufficient Vision Transformer

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu 0002   +4 more
openaire   +1 more source