Rotation-Invariant Deep Embedding for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3088398
Abstract: Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of the existing deep methods for… read more here.
Keywords: invariant deep; remote sensing; rotation invariant; rotation ... See more keywords
Deep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3221136
Abstract: Tomographic image reconstruction with deep learning is an emerging field of applied artificial intelligence. Reducing radiation dose with sparse views’ reconstruction is a significant task in cardiac imaging. Many efforts are contributing to sparse-view tomography… read more here.
Keywords: refinement; sparse view; deep embedding; reconstruction ... See more keywords
Variational deep embedding-based active learning for the diagnosis of pneumonia
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1059739
Abstract: Machine learning works similar to the way humans train their brains. In general, previous experiences prepared the brain by firing specific nerve cells in the brain and increasing the weight of the links between them.… read more here.
Keywords: based active; pneumonia; active learning; embedding based ... See more keywords