most citedExplicitly Increasing Input Information Density for Vision Transformers on Small Datasets

2 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 2 cited

Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets

Xiangyu Chen, Ying Qin, Wenju Xu +3

Vision Transformers have attracted a lot of attention recently since the successful implementation of Vision Transformer (ViT) on vision tasks. With vision Transformers, specifical…

cs.CV2022★ 1 cited

Aggregating Global Features into Local Vision Transformer

Krushi Patel, Andres M. Bur, Fengjun Li +1

Local Transformer-based classification models have recently achieved promising results with relatively low computational costs. However, the effect of aggregating spatial global in…

eess.IV2021

Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

Krushi Patel, Andres M. Bur, Guanghui Wang

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the di…