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Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification

IEEE transactions on geoscience and remote sensing, 2020-09, Vol.58 (9), p.6699-6721

2020

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IEEE_Xplore

Constrained Center Loss for Convolutional Neural Networks

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.1080-1088

2023

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IEEE_Xplore

T-Center: A Novel Feature Extraction Approach Towards Large-Scale Iris Recognition

IEEE access, 2020, Vol.8, p.32365-32375

2020

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Masked multi-center angular margin loss for language recognition

EURASIP journal on audio, speech, and music processing, 2022-07, Vol.2022 (1), p.1-22, Article 17

2022

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Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss

IEEE access, 2021, Vol.9, p.90805-90815

2021

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Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm

International journal of computational intelligence systems, 2019, Vol.12 (2), p.903-913

2019

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Hetero-Center loss for cross-modality person Re-identification

Neurocomputing (Amsterdam), 2020-04, Vol.386, p.97-109

2020

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A Discriminative Feature Learning Approach for Deep Face Recognition

Computer Vision – ECCV 2016, p.499-515

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IAN: The Individual Aggregation Network for Person Search

Pattern recognition, 2019-03, Vol.87, p.332-340

2019

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Discriminative feature and dictionary learning with part-aware model for vehicle re-identification

Neurocomputing (Amsterdam), 2021-05, Vol.438, p.55-62

2021

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A novel deep model with multi-loss and efficient training for person re-identification

Neurocomputing (Amsterdam), 2019-01, Vol.324, p.69-75

2019

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An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features

IEEE journal of biomedical and health informatics, 2024-06, Vol.PP, p.1-11

2024

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IEEE_Xplore

Cross-View Gait Recognition by Discriminative Feature Learning

IEEE transactions on image processing, 2020-01, Vol.29, p.1001-1015

2020

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IEEE_Xplore

Centralized Large Margin Cosine Loss for Open-Set Deep Palmprint Recognition

IEEE transactions on circuits and systems for video technology, 2020-06, Vol.30 (6), p.1559-1568

2020

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IEEE_Xplore

Margin Loss: Making Faces More Separable

IEEE signal processing letters, 2018-02, Vol.25 (2), p.308-312

2018

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IEEE_Xplore

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions

Neurocomputing (Amsterdam), 2022-01, Vol.470, p.217-225

2022

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Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 2021-03, Vol.5 (1), p.1-22

2021

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Learning View-Specific Deep Networks for Person Re-Identification

IEEE transactions on image processing, 2018-07, Vol.27 (7), p.3472-3483

2018

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IEEE_Xplore

A multi-source subdomain adaptation fault diagnosis method based on unidirectional movement of the target domain

Measurement science & technology, 2024-05, Vol.35 (5), p.56117

2024

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Chain centre loss: A psychology inspired loss function for image sentiment analysis

Neurocomputing (Amsterdam), 2022-07, Vol.495, p.118-128

2022

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Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

IEEE access, 2019, Vol.7, p.125868-125881

2019

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Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero-shot learning

Signal processing. Image communication, 2023-02, Vol.111, p.116897, Article 116897

2023

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Fine-grained vehicle type classification using lightweight convolutional neural network with feature optimization and joint learning strategy

Multimedia tools and applications, 2021-08, Vol.80 (20), p.30803-30816

2021

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Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images

ISPRS journal of photogrammetry and remote sensing, 2019-09, Vol.155, p.72-89

2019

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Complexity aware center loss for facial expression recognition

The Visual computer, 2024-01

2024

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Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification

Constrained Center Loss for Convolutional Neural Networks

T-Center: A Novel Feature Extraction Approach Towards Large-Scale Iris Recognition

Masked multi-center angular margin loss for language recognition

Enhancing Metric-Based Few-Shot Classification With Weighted Large Margin Nearest Center Loss

Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm

Hetero-Center loss for cross-modality person Re-identification

A Discriminative Feature Learning Approach for Deep Face Recognition

IAN: The Individual Aggregation Network for Person Search

Discriminative feature and dictionary learning with part-aware model for vehicle re-identification

A novel deep model with multi-loss and efficient training for person re-identification

An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features

Cross-View Gait Recognition by Discriminative Feature Learning

Centralized Large Margin Cosine Loss for Open-Set Deep Palmprint Recognition

Margin Loss: Making Faces More Separable

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

Learning View-Specific Deep Networks for Person Re-Identification

A multi-source subdomain adaptation fault diagnosis method based on unidirectional movement of the target domain

Chain centre loss: A psychology inspired loss function for image sentiment analysis

Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero-shot learning

Fine-grained vehicle type classification using lightweight convolutional neural network with feature optimization and joint learning strategy

Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images

Complexity aware center loss for facial expression recognition

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