Deep Neural Networks have exhibited considerable success in various visu...
Domain generalization (DG) is proposed to deal with the issue of domain
...
Semi-supervised learning is attracting blooming attention, due to its su...
Single domain generalization aims to enhance the ability of the model to...
Deep learning has made significant advancements in supervised learning.
...
Despite the significant success of deep learning in computer vision task...
Domain generalization (DG) aims to learn a model that generalizes well t...
The surrogate loss of variational autoencoders (VAEs) poses various
chal...
In this work, we revisit the weak-to-strong consistency framework,
popul...
Domain generalization (DG) aims at learning a model on source domains to...
For medical image analysis, segmentation models trained on one or severa...
Person re-identification (Re-ID) is a critical technique in the video
su...
For medical image segmentation, imagine if a model was only trained usin...
Although deep learning has made significant progress on fixed large-scal...
In person re-identification (Re-ID), supervised methods usually need a l...
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
In this paper, a novel mask based deep ranking neural network with skipp...