Source-free unsupervised domain adaptation: A survey
Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention
for tackling domain-shift problems caused by distribution discrepancy across different …
for tackling domain-shift problems caused by distribution discrepancy across different …
A comprehensive survey on source-free domain adaptation
Over the past decade, domain adaptation has become a widely studied branch of transfer
learning which aims to improve performance on target domains by leveraging knowledge …
learning which aims to improve performance on target domains by leveraging knowledge …
Source-free unsupervised domain adaptation: Current research and future directions
In the field of Transfer Learning, Source-Free Unsupervised Domain Adaptation (SFUDA)
emerges as a practical and novel task that enables a pre-trained model to adapt to a new …
emerges as a practical and novel task that enables a pre-trained model to adapt to a new …
Fast and accurate transferability measurement by evaluating intra-class feature variance
H Xu, U Kang - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Given a set of pre-trained models, how can we quickly and accurately find the most useful
pre-trained model for a downstream task? Transferability measurement is to quantify how …
pre-trained model for a downstream task? Transferability measurement is to quantify how …
Accurate action recommendation for smart home via two-level encoders and commonsense knowledge
How can we accurately recommend actions for users to control their devices at home?
Action recommendation for smart home has attracted increasing attention due to its potential …
Action recommendation for smart home has attracted increasing attention due to its potential …
Quality Guided Metric Learning for Domain Adaptation Person Re-Identification
Person re-identification is the task of identifying pedestrians across different cameras.
Domain adaptation person re-identification involves transferring knowledge from labeled …
Domain adaptation person re-identification involves transferring knowledge from labeled …
Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion Adaptation
Visual emotion recognition (VER), which aims at understanding humans' emotional
reactions toward different visual stimuli, has attracted increasing attention. Given the …
reactions toward different visual stimuli, has attracted increasing attention. Given the …
Multi-EPL: Accurate multi-source domain adaptation
Given multiple source datasets with labels, how can we train a target model with no labeled
data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source …
data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source …
Transfer alignment network for blind unsupervised domain adaptation
H Xu, U Kang - Knowledge and Information Systems, 2021 - Springer
How can we transfer the knowledge from a source domain to a target domain when each
side cannot observe the data in the other side? Recent transfer learning methods show …
side cannot observe the data in the other side? Recent transfer learning methods show …