Results 191 to 200 of about 18,617 (276)

POST: photonic swin transformer for automated and efficient prediction of PCSEL. [PDF]

Nanophotonics
Xin Q, Huang H, Li C, Shi K, Zhang Z.
europepmc   +1 more source

CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion. [PDF]

Quant Imaging Med Surg
Zhang L, Zheng J, Tang X.
europepmc   +1 more source

Data-independent Module-aware Pruning for Hierarchical Vision Transformers

Hierarchical vision transformers (ViTs) have two advantages over conventional ViTs. First, hierarchical ViTs achieve linear computational complexity with respect to image size by local self-attention. Second, hierarchical ViTs create hierarchical feature
He, Yang, Zhou, Joey Tianyi
core  

Pillar-MTNet: A Point Cloud Vehicle Target Detection Algorithm Based on Pillar and Swin Transformer [PDF]

Jiabao Liang, Zhiwei Guan, Xiaoyan Chen, Wei Su, Zeyao Hou   +4 more
openalex   +1 more source

Peningkatan Sensitivitas Deteksi Diabetic Retinopathy melalui Mekanisme Hierarchical Self-Attention pada Swin Transformer

Tanzilal Mustaqim, Pima Hani Safitri, Vessa Rizky Oktavia   +2 more
openalex   +1 more source

Crack detection in structural images using a hybrid Swin Transformer and enhanced features representation block. [PDF]

Front Artif Intell
Anusha N, Anbarasi LJ.
europepmc   +1 more source

3D Swin Transformer for patient-specific proton dose prediction of brain cancer patients. [PDF]

Acta Oncol
Andresen AH, Lassen-Ramshad Y, Lukacova S, Rønn Hansen C, Kallehauge JF.   +4 more
europepmc   +1 more source

A swin transformer-based hybrid reconstruction discriminative network for image anomaly detection. [PDF]

Sci Rep
Jin J, Xu Y, He H, Gao F, Zeng W, Wang W, Guo B, Xu Z.   +7 more
europepmc   +1 more source

shaik5651/AI-Driven-Multimodal-Imaging-Fusion-Using-Optimized-Tensor-Fusion-Networks-for-Pneumonia-Detection-: AI-Driven Multimodal Imaging Fusion Using Swin Transformer and Optimized Tensor Fusion Networks for Pneumonia Detection

shaik5651
openalex   +1 more source

Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed loss [PDF]

Jongwook Si, Sungyoung Kim
openalex   +1 more source