Memorizing Swin-Transformer Denoising Network for Diffusion Model
Diffusion models have garnered significant attention in the field of image generation. However, existing denoising architectures, such as U-Net, face limitations in capturing the global context, while Vision Transformers (ViTs) may struggle with local ...
Yiqing Shen, Jindou Chen
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Editorial Note: Small object detection algorithm incorporating swin transformer for tea buds. [PDF]
PLoS OnePLOS One Editors.
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A multi-task and explainable swin transformer framework for cross-scale computational pathology in gastrointestinal cancer. [PDF]
Front OncolFeng QC, Yang T, Guo HL, Wang XY.
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HyCoSwin-PD: An explainable hybrid ConvNeXtV2-Swin transformer framework for Parkinson's disease detection from neuroimaging. [PDF]
MethodsXAwasthi V +6 more
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Hand gesture 3D pose estimation method based on swin transformer and CNN. [PDF]
Sci RepDang R, Feng G.
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Patched-Based Swin Transformer Hyperprior for Learned Image Compression. [PDF]
J ImagingButhelezi SB, Tapamo JR.
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Enhanced swin transformer with dual attention for knee osteoarthritis severity grading from X-ray images. [PDF]
Sci RepSudha K, Rajiv Kannan A.
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Cardio-Dense: Diagnosis of Cardiac Abnormalities Based on Phonocardiogram Using Improved Swin Transformer Through Lightweight Dense Blocks. [PDF]
Diagnostics (Basel)Ahmed AES, Ibrahim MEA, Daadaa Y.
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Swin Transformer-based intelligent fracture classification and radiographic assessment to support clinical decision-making. [PDF]
BMC Med Inform Decis MakXu Y +5 more
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CRC-Former: frequency-domain adaptive swin-transformer for colorectal cancer histopathology classification. [PDF]
Front PhysiolChen L, Li C, Meng F, Tai J, Wang K.
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