Learning multi-level domain invariant features for sketch re-identification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.060
Abstract: Abstract Person re-identification (Re-ID) aims to match the photos of suspects in the gallery database by a query photo. Under Re-ID, the input is usually a query photo of the target person, however, in a… read more here.
Keywords: domain invariant; photo; person; identification ... See more keywords
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.117649
Abstract: As non-human primates, macaques have a close phylogenetic relationship to human beings and have been proven to be a valuable and widely used animal model in human neuroscience research. Accurate skull stripping (aka. brain extraction)… read more here.
Keywords: domain invariant; information; skull stripping; developing macaques ... See more keywords
CentriForce: Multiple-Domain Adaptation for Domain-Invariant Speaker Representation Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3154237
Abstract: In the real world, speaker recognition systems usually suffer from serious performance degradation due to the domain mismatch between training and test conditions. To alleviate the harmful effect of domain shift, unsupervised domain adaptation methods… read more here.
Keywords: domain invariant; multiple domain; domain; adaptation ... 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
Towards Multi-Domain Face Synthesis Via Domain-Invariant Representations and Multi-Level Feature Parts
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3099297
Abstract: Cross-domain face synthesis plays a positive role in the real world. It is challenging to synthesize high-quality faces across multiple domains based on limited paired data because the multiple mappings between different domains may interfere… read more here.
Keywords: domain face; face; face synthesis; domain ... See more keywords
Automatic Seizure Classification Based on Domain-Invariant Deep Representation of EEG
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.760987
Abstract: Accurate identification of the type of seizure is very important for the treatment plan and drug prescription of epileptic patients. Artificial intelligence has shown considerable potential in the fields of automated EEG analysis and seizure… read more here.
Keywords: domain invariant; seizure classification; seizure; representation ... See more keywords
A Novel Stacked Auto Encoders Sparse Filter Rotating Component Comprehensive Diagnosis Network for Extracting Domain Invariant Features
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10176084
Abstract: In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability,… read more here.
Keywords: domain invariant; network; diagnosis; novel stacked ... See more keywords