Person Re-Identification With Triplet Focal Loss
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2884743
Abstract: Person re-identification (ReID), which aims at matching individuals across non-overlapping cameras, has attracted much attention in the field of computer vision due to its research significance and potential applications. Triplet loss-based CNN models have been… read more here.
Keywords: focal loss; person identification; triplet focal; loss ... See more keywords
Adaptive FH-SVM for Imbalanced Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940983
Abstract: Support vector machines (SVMs), powerful learning methods, have been popular among machine learning researches due to their strong performance on both classification and regression problems. However, traditional SVM making use of Hinge Loss cannot deal… read more here.
Keywords: svm; loss; focal loss; class ... See more keywords
Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3197937
Abstract: Currently, the most advanced high-resolution remote sensing image (HRRSI) semantic labeling methods rely on deep neural networks. However, HRRSIs naturally have a serious class imbalance problem, which is not yet well solved by the current… read more here.
Keywords: focal loss; remote sensing; loss; semantic labeling ... See more keywords
Text Semantic Classification of Long Discourses Based on Neural Networks with Improved Focal Loss
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/8845362
Abstract: Semantic classification of Chinese long discourses is an important and challenging task. Discourse text is high-dimensional and sparse. Furthermore, when the number of classes of dataset is large, the data distribution will be seriously imbalanced.… read more here.
Keywords: neural networks; improved focal; focal loss; long discourses ... See more keywords
Focal loss of the paranodal domain protein Neurofascin155 in the internal capsule impairs cortically induced muscle activity in vivo
Sign Up to like & getrecommendations! Published in 2020 at "Molecular Brain"
DOI: 10.1186/s13041-020-00698-y
Abstract: Paranodal axoglial junctions are essential for rapid nerve conduction and the organization of axonal domains in myelinated axons. Neurofascin155 (Nfasc155) is a glial cell adhesion molecule that is also required for the assembly of these… read more here.
Keywords: focal loss; paranodal; motor; internal capsule ... See more keywords
Effectiveness of Focal Loss for Minority Classification in Network Intrusion Detection Systems
Sign Up to like & getrecommendations! Published in 2021 at "Symmetry"
DOI: 10.3390/sym13010004
Abstract: As the rapid development of information and communication technology systems offers limitless access to data, the risk of malicious violations increases. A network intrusion detection system (NIDS) is used to prevent violations, and several algorithms,… read more here.
Keywords: detection; network; focal loss; network intrusion ... See more keywords