Recently, anatomical landmark detection has achieved great progresses on...
Automatic medical report generation (MRG) is of great research value as ...
Deep neural networks (DNNs) have demonstrated their outperformance in va...
Diabetic Retinopathy (DR) is a common complication of diabetes and a lea...
Road network digital twins (RNDTs) play a critical role in the developme...
Deep neural networks (DNNs) are vulnerable to adversarial examples, whic...
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading c...
This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...
Despite impressive capabilities and outstanding performance, deep neural...
The success of deep neural networks (DNNs) in real-world applications ha...
Although deep learning models have achieved unprecedented success, their...
In recent years, significant progress has been made in the research of f...
Recently, heatmap regression based models become popular because of thei...
Person re-identification task has been greatly boosted by deep convoluti...