31 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Deep Transformers Thirst for Comprehensive-Frequency Data
Rui Xia, Chao Xue, Boyu Deng +2
Current researches indicate that inductive bias (IB) can improve Vision Transformer (ViT) performance. However, they introduce a pyramid structure concurrently to counteract the in…
eess.IV2020★ 31 cited
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
Shuhang Wang, Szu-Yeu Hu, Eugene Cheah +10
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net). SDU-Net adopts the architecture of vanilla U-Net with modific…
eess.IV2020★ 1 cited
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng +6
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data. Low-resource settings pose challenges like acquiring hi…