The success of transformers in computer vision has led to several attemp...
Interactive image segmentation aims at segmenting a target region throug...
In recent years, the rapid development of deep learning has brought grea...
Adversarial training has been demonstrated to be one of the most effecti...
Natural image matting is a fundamental and challenging computer vision t...
Real-world applications have high demands for semantic segmentation meth...
As the COVID-19 pandemic rampages across the world, the demands of video...
High-quality training data play a key role in image segmentation tasks.
...
Deep neural networks (DNNs) are vulnerable to adversarial noises, which
...
Previous feature alignment methods in Unsupervised domain adaptation(UDA...
Deep learning models are vulnerable to adversarial examples. As a more
t...
There is now extensive evidence demonstrating that deep neural networks ...