Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
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 recover based label-specific features learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72765-6
Abstract: Presently, multi-label classification algorithms are mainly based on positive and negative logical labels, which have achieved good results. However, logical labeling inevitably leads to the label misclassification problem. In addition, missing labels are common in… read more here.
Keywords: label recover; soft label; based label; recover based ... See more keywords
Soft Label With Channel Encoding for Dependent Facial Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
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
Tensorized Soft Label Learning Based on Orthogonal NMF
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3442435
Abstract: Recently, a strong interest has been in multiview high-dimensional data collected through cross-domain or various feature extraction mechanisms. Nonnegative matrix factorization (NMF) is an effective method for clustering these high-dimensional data with clear physical significance.… read more here.
Keywords: label learning; soft label; tensorized soft; different views ... See more keywords
FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label Generation.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3611832
Abstract: Federated learning (FL) facilitates collaborative training among multiple clients while preserving data privacy by eliminating raw data transmission. However, the inherent data heterogeneity among participants induces bias during collaborative learning, significantly degrading the performance of… read more here.
Keywords: multi level; label generation; prototype; soft label ... See more keywords
Soft label collaborative view consistency enhancement with application to incomplete multi-view clustering
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0326852
Abstract: Incomplete multi-view clustering (IMVC) is an unsupervised technique for clustering multi-view data when some view information is absent. However, most existing IMVC methods usually suffer from several significant challenges: (1) Inaccurate imputation or padding of… read more here.
Keywords: view; soft label; incomplete multi; consistency enhancement ... See more keywords
Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
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
Reduced Forgetfulness in Continual Learning for Named Entity Recognition Through Confident Soft-Label Imitation
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12243964
Abstract: Continual Learning for Named Entity Recognition (CL-NER) is a crucial task in recognizing emerging concepts when constructing real-world natural language processing applications. It involves sequentially updating an existing NER model with new entity types while… read more here.
Keywords: continual learning; recognition; soft label; entity ... See more keywords