Pose-and-illumination-invariant face representation via a triplet-loss trained deep reconstruction model
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DOI: 10.1007/s11042-017-4782-y
Abstract: Face recognition under variable pose and illumination is a challenging problem in computer vision tasks. In this paper, we solve this problem by proposing a new residual based deep face reconstruction neural network to extract… read more here.
Keywords: illumination; face; triplet loss; pose illumination ... See more keywords
Using machine learning to alleviate the allometric effect in otolith shape-based species discrimination: the role of a triplet loss function
Sign Up to like & getrecommendations! Published in 2023 at "ICES Journal of Marine Science"
DOI: 10.1093/icesjms/fsad052
Abstract: Species identification by fish otoliths is an effective and appropriate approach. However, the allometric growth of otoliths can cause discrimination confusion, particularly in juvenile otolith classification. In the Southern Ocean, Chionodraco rastrospinosus,Krefftichthys anderssoni,Electrona carlsbergi, andPleuragramma… read more here.
Keywords: triplet loss; discrimination; function; loss function ... See more keywords
Analysis on Secure Triplet Loss
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DOI: 10.1109/access.2022.3225430
Abstract: Major improvements in biometric authentication have been made in recent years due to the advancements in deep learning. Through the use of a deep learning-based facial recognition model with metric learning, more discriminative facial features… read more here.
Keywords: secure triplet; triplet loss; impersonation attack;
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3187215
Abstract: Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate when diagnosed at early stages. Learning-based methods hold significant promise for the detection of melanoma from dermoscopic images. However, since… read more here.
Keywords: deep clustering; highly imbalanced; triplet loss; triplet ... See more keywords
Clustering-Guided Pairwise Metric Triplet Loss for Person Reidentification
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DOI: 10.1109/jiot.2022.3147950
Abstract: Most of the loss functions proposed for person reidentification (Re-ID) are expected to be easy to deploy, efficiently improve network performance, and will not introduce redundant parameters. This study proposes a no-parameter and generic clustering-guided… read more here.
Keywords: loss; triplet loss; cpm triplet; clustering guided ... See more keywords
Triplet Loss With Multistage Outlier Suppression and Class-Pair Margins for Facial Expression Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3063052
Abstract: Deep metric based triplet loss has been widely used to enhance inter-class separability and intra-class compactness of network features. However, the margin parameters in the triplet loss for current approaches are usually fixed and not… read more here.
Keywords: expression; pair; loss; triplet loss ... See more keywords
Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.813237
Abstract: Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their… read more here.
Keywords: metric learning; plant disease; loss; triplet loss ... See more keywords