Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification
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DOI: 10.1016/j.neucom.2019.12.115
Abstract: Abstract Most of the existing person re-identification algorithms rely on supervised model learning from a large number of labeled training data per-camera-pair. However, the manual annotations often require expensive human labor, which limits the application… read more here.
Keywords: neighbor similarity; soft label; identification; domain ... See more keywords
Soft Label With Channel Encoding for Dependent Facial Image Classification
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DOI: 10.1109/access.2022.3145195
Abstract: In classification tasks, training labels are usually specified as one-hot targets which represent each class equally and exclusively. However, this labeling rule is not suitable in some situations. For the dependent classes, one-hot targets are… read more here.
Keywords: one hot; classification; channel encoding; soft label ... See more keywords
Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning
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DOI: 10.1109/jbhi.2022.3218166
Abstract: Objective assessment of atopic dermatitis (AD) is essential for choosing proper management strategies. This study investigated the performance of convolutional neural networks (CNN) models in grading the severity of AD. Five board-certified dermatologists independently evaluated… read more here.
Keywords: set pruning; soft label; train set; severity ... See more keywords
Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images
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DOI: 10.3389/fnins.2021.687832
Abstract: Semantic segmentation of mitochondria from electron microscopy (EM) images is an essential step to obtain reliable morphological statistics about mitochondria. However, automatically delineating plenty of mitochondria of varied shapes from complex backgrounds with sufficient accuracy… read more here.
Keywords: label; shape; encoder decoder; hierarchical encoder ... See more keywords