Results 231 to 240 of about 97,243 (265)
Advancing SAR Target Recognition Through Hierarchical Self-Supervised Learning with Multi-Task Pretext Training. [PDF]
Sensors (Basel)Siam MA, Noor DF, Ndoye M, Khan JF.
europepmc +1 more source
The Efficacy of Semantics-Preserving Transformations in Self-Supervised Learning for Medical Ultrasound. [PDF]
Bioengineering (Basel)VanBerlo B, Hoey J, Wong A, Arntfield R.
europepmc +1 more source
Self-Supervised Learning and Multi-Sensor Fusion for Alpine Wetland Vegetation Mapping: Bayinbuluke, China. [PDF]
Plants (Basel)Zaka MM +5 more
europepmc +1 more source
Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI. [PDF]
Magn Reson MedChen Z +4 more
europepmc +1 more source
Longitudinal self-supervised learning [PDF]
Medical Image Analysis, 2021 Machine learning analysis of longitudinal neuroimaging data is typically based on supervised learning, which requires a large number of ground-truth labels to be informative. As ground-truth labels are often missing or expensive to obtain in neuroscience, we avoid them in our analysis by combing factor disentanglement with self-supervised learning to ...
Qingyu Zhao, Zixuan Liu, Ehsan Adeli
exaly +4 more sources
Self-supervised Learning: Generative or Contrastive [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 Deep supervised learning has achieved great success in the last decade. However, its deficiencies of dependence on manual labels and vulnerability to attacks have driven people to explore a better solution. As an alternative, self-supervised learning attracts many researchers for its soaring performance on representation learning in the last several ...
Fanjin Zhang, Xiao Liu
exaly +3 more sources