AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-021-01549-6
Abstract: Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited. Addressing such problem, we present a novel domain-adaptive approach called… read more here.
Keywords: domain adaptive; domain; stereo matching; adaptive stereo ... See more keywords
Domain-adaptive modules for stereo matching network
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.004
Abstract: Abstract Convolutional neural networks (CNNs) have been widely used in end-to-end stereo matching networks in recent years. However, most stereo networks are not robust to variations in the environment and thus are difficult to be… read more here.
Keywords: stereo matching; domain adaptive; adaptive modules; modules stereo ... See more keywords
Cycle-Consistent Domain Adaptive Faster RCNN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938837
Abstract: Traditional object detection methods always assume both of the training and test data follow the same distribution, but this cannot always be guaranteed in the real world. Domain adaptive methods are proposed to handle this… read more here.
Keywords: cycle consistent; domain adaptive; consistent domain; source ... See more keywords
DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976816
Abstract: End-to-end task-oriented dialog systems have attracted vast amounts of attention in recent years, mainly because of their ease of training. However, such an end-to-end model requires a large number of labeled dialogs to train. Labeled… read more here.
Keywords: dialog; end end; end; domain adaptive ... See more keywords
Solar Power Forecasting Based on Domain Adaptive Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034100
Abstract: Solar power forecasting is critical to ensure the safety and stability of the power grid with high photovoltaic power penetration. Machine learning methods are compelling in solar forecasting. These methods can capture the complex coupling… read more here.
Keywords: power forecasting; domain adaptive; power; adaptive learning ... See more keywords
Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3218453
Abstract: The use of transfer learning in brain-computer interfaces (BCIs) has potential applications. As electroencephalogram (EEG) signals vary among different paradigms and subjects, existing EEG transfer learning algorithms mainly focus on the alignment of the original… read more here.
Keywords: domain adaptive; brain computer; domain; source ... See more keywords
Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3145088
Abstract: Although robots have been widely applied in various fields, allowing a robot to perform a wide range of tasks like humans is a significant challenge. One promising method is meta-learning, which enables robots to learn… read more here.
Keywords: demonstration; domain adaptive; meta learning; adaptive meta ... See more keywords
Learning From Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3207558
Abstract: Despite significant advances in few-shot classification, object detection, or speech recognition in recent years, training an effective robot to adapt to previously unseen environments in a small data regime is still a long-lasting problem for… read more here.
Keywords: meta learning; mlma daml; domain adaptive; meta ... See more keywords
AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3267692
Abstract: Unsupervised domain adaptive object detection is a challenging perception task where object detectors are adapted from a label-rich source domain to an unlabeled target domain, playing a vital role in autonomous driving and robot navigation.… read more here.
Keywords: domain adaptive; feature; unsupervised domain; domain ... See more keywords
Diffusion Partitioned-Block Frequency-Domain Adaptive Filter Over Multitask Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3225364
Abstract: As a generalization of the frequency-domain adaptive filter (FDAF) algorithm, partitioned-block frequency-domain adaptive filter (PBFDAF) results in minimal signal path delay. In this brief, we propose the diffusion normalized PBFDAF algorithm based on an unsupervised… read more here.
Keywords: frequency domain; frequency; domain adaptive; adaptive filter ... See more keywords
Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3216611
Abstract: Recent researches have made a great progress in domain adaptive object detectors. These detectors aim to learn explicit domain-invariant features by adversarially mitigating domain divergence and simultaneously optimizing source risks. However, an inherent problem is… read more here.
Keywords: domain adaptive; domain; implicit domain; domain invariant ... See more keywords