The segment-anything model (SAM), was introduced as a fundamental model ...
The combination of the U-Net based deep learning models and Transformer ...
Deep convolutional neural networks (CNNs) have been widely used for medi...
Stereo matching of high-resolution satellite images (HRSI) is still a
fu...
Most deep learning models for temporal regression directly output the
es...
This paper presents an end-to-end neural network system to identify writ...
Writer identification based on a small amount of text is a challenging
p...
Brain age prediction based on children's brain MRI is an important bioma...
In this paper, we present a simple but powerful method to tackle the pro...
This paper presents a novel iterative deep learning framework and apply ...
There are two types of information in each handwritten word image: expli...
Recognition of Off-line Chinese characters is still a challenging proble...