Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3073935
Abstract: The recent applications of fully convolutional networks (FCNs) have shown to improve the semantic segmentation of very high resolution (VHR) remote-sensing images because of the excellent feature representation and end-to-end pixel labeling capabilities. While many… read more here.
Keywords: attention guided; attention; label refinement; semantic segmentation ... See more keywords
Convolutional Multiple Instance Learning for Sleep Spindle Detection With Label Refinement
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3159285
Abstract: Sleep spindles are closely associated with cognitive functions and neurological disorders; thus, spindle detection has been an important topic in sleep medicine. Recently, machine learning approaches have shown the potential in automatic sleep spindle detection… read more here.
Keywords: spindle detection; feature learning; label refinement; sleep spindle ... See more keywords
Accurate Label Refinement From Multiannotator of Remote Sensing Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3241402
Abstract: The remote sensing (RS) field has an increasing research interest in using deep learning (DL) models to recognize kinds of RS data, leading to a great demand for training data annotation. Due to the high… read more here.
Keywords: remote sensing; accurate label; refinement multiannotator; multiannotator remote ... See more keywords