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...
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...
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
Aiming to produce sufficient and diverse training samples, data augmenta...
In person re-identification (Re-ID), supervised methods usually need a l...
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
Metric learning learns a metric function from training data to calculate...
Due to low tissue contrast, irregular object appearance, and unpredictab...
In this paper, a novel mask based deep ranking neural network with skipp...
The available butterfly data sets comprise a few limited species, and th...
Caricatures are facial drawings by artists with exaggeration on certain
...
To achieve a low computational cost when performing online metric learni...