A novel enhanced softmax loss function for brain tumour detection using deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108520
Abstract: BACKGROUND AND AIM in deep learning, the sigmoid function is unsuccessfully used for the multiclass classification of the brain tumour due to its limit of binary classification. This study aims to increase the classification accuracy… read more here.
Keywords: classification; brain tumour; time; deep learning ... See more keywords
Rectified Softmax Loss With All-Sided Cost Sensitivity for Age Estimation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964281
Abstract: In Convolutional Neural Network (ConvNet) based age estimation algorithms, softmax loss is usually chosen as the loss function directly, and the problems of Cost Sensitivity (CS), such as class imbalance and misclassification cost difference between… read more here.
Keywords: rectified softmax; loss; age estimation; softmax loss ... See more keywords
Angular Margin-Mining Softmax Loss for Face Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3168310
Abstract: Face recognition methods have been significantly improved in recent years owing to the advances made in loss functions. Typically, loss functions are designed to enhance the separability power by concentrating on hard samples in mining-based… read more here.
Keywords: loss; softmax loss; margin; hard samples ... See more keywords
Accurate and Reliable Facial Expression Recognition Using Advanced Softmax Loss With Fixed Weights
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.2989670
Abstract: An important challenge for facial expression recognition (FER) is that real-world training data are usually imbalanced. Although many deep learning approaches have been proposed to enhance the discriminative power of deep expression features and enable… read more here.
Keywords: facial expression; advanced softmax; loss; expression recognition ... See more keywords
RVFace: Reliable Vector Guided Softmax Loss for Face Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3154293
Abstract: Face recognition has witnessed significant progress with the advances of deep convolutional neural networks (CNNs), and the central task of which is how to improve the feature discrimination. To this end, several margin-based (e.g., angular,… read more here.
Keywords: recognition; softmax loss; face recognition; feature ... See more keywords
Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3017528
Abstract: In deep face recognition, the commonly used softmax loss and its newly proposed variations are not yet sufficiently effective to handle the class imbalance and softmax saturation issues during the training process while extracting discriminative… read more here.
Keywords: deep face; margin; face recognition; class ... See more keywords