research
∙
06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
share
research
∙
05/27/2022
Dynamic Domain Generalization
Domain generalization (DG) is a fundamental yet very challenging researc...
research
∙
11/19/2021
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
Conventional domain generalization aims to learn domain invariant repres...
research
∙
02/23/2021
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
It is a strong prerequisite to access source data freely in many existin...
research
∙
06/20/2020
Unsupervised Image Classification for Deep Representation Learning
Deep clustering against self-supervised learning is a very important and...
research
∙
11/13/2019
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification
An open research problem in automatic signature verification is the skil...
research
∙
01/19/2018