4.7 Article

MIFAD-Net: Multi-Layer Interactive Feature Fusion Network With Angular Distance Loss for Face Emotion Recognition

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Multi-label, multi-task CNN approach for context-based emotion recognition

Ilyes Bendjoudi et al.

Summary: This paper proposes a new deep learning architecture for context-based multi-label multi-task emotion recognition, with a key focus on the new loss function called multi-label focal loss (MFL). Experimental results demonstrate that the combination of MFL with Huber loss performs the best, outperforming other combinations of loss functions, and excelling particularly on less frequent labels.

INFORMATION FUSION (2021)

Article Computer Science, Artificial Intelligence

MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach

Mustaqeem et al.

Summary: The paper discusses an end-to-end real-time SER model based on DCNN, which extracts emotional features and learns long-term contextual dependencies through multi-learning strategy, achieving high recognition accuracy.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Information Systems

Multiscale Dense Cross-Attention Mechanism with Covariance Pooling for Hyperspectral Image Scene Classification

Runmin Liu et al.

Summary: This paper introduces the MDCA-CP algorithm for hyperspectral image scene classification, achieving significant progress in data dimensionality reduction and feature extraction.

MOBILE INFORMATION SYSTEMS (2021)

Article Computer Science, Information Systems

Multimodal Data Guided Spatial Feature Fusion and Grouping Strategy for E-Commerce Commodity Demand Forecasting

Weiwei Cai et al.

Summary: This paper proposes a spatial feature fusion and grouping strategy based on multimodal data for accurate prediction of e-commodity demand, and builds a neural network prediction model. The model extracts features from multimodal data and utilizes a BiLSTM-based grouping strategy to improve prediction accuracy and optimize goods allocation.

MOBILE INFORMATION SYSTEMS (2021)

Article Health Care Sciences & Services

AGTH-Net: Attention-Based Graph Convolution-Guided Third-Order Hourglass Network for Sports Video Classification

Ming Gao et al.

Summary: This paper introduces the current research status and challenges in the field of sports video classification, proposes a novel classification model AGTH-Net based on neural network technology, and achieves automatic classification through the combination of graph convolution and hourglass network. The model effectively improves the classification performance and network expression ability by introducing attention mechanism and multi-scale feature extraction.

JOURNAL OF HEALTHCARE ENGINEERING (2021)

Article Computer Science, Artificial Intelligence

Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset

Dimitrios Kollias et al.

Summary: This article introduces a novel CNN-RNN based approach for dimensional emotion recognition in-the-wild using the OMG-Emotion dataset. It demonstrates that combining low-level features with high-level ones greatly improves arousal estimation.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2021)

Article Engineering, Biomedical

A machine learning model for emotion recognition from physiological signals

J. A. Dominguez-Jimenez et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Article Computer Science, Information Systems

Recognition of facial expressions based on CNN features

Sonia M. Gonzalez-Lozoya et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Article Computer Science, Theory & Methods

Driver Emotion Recognition for Intelligent Vehicles: A Survey

Sebastian Zepf et al.

ACM COMPUTING SURVEYS (2020)

Article Computer Science, Information Systems

PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting

Weiwei Cai et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Three convolutional neural network models for facial expression recognition in the wild

Jie Shao et al.

NEUROCOMPUTING (2019)

Article Computer Science, Artificial Intelligence

Extended deep neural network for facial emotion recognition

Deepak Kumar Jain et al.

PATTERN RECOGNITION LETTERS (2019)

Article Engineering, Electrical & Electronic

An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification

Qilong Wang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)

Article Computer Science, Artificial Intelligence

Grey Wolf optimisation-based feature selection and classification for facial emotion recognition

Ninu Preetha Nirmala Sreedharan et al.

IET BIOMETRICS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Island Loss for Learning Discriminative Features in Facial Expression Recognition

Jie Cai et al.

PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018) (2018)

Proceedings Paper Engineering, Electrical & Electronic

Facial Emotions Recognition using Gabor Transform and Facial Animation Parameters with Neural Networks

Aditya Harit et al.

3RD INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS-2017) (2018)

Article Business

Emotion and advertising effectiveness: A novel facial expression analysis approach

Nicolas Hamelin et al.

JOURNAL OF RETAILING AND CONSUMER SERVICES (2017)

Article Computer Science, Artificial Intelligence

Extraction of informative regions of a face for facial expression recognition

Sunil Kumar et al.

IET COMPUTER VISION (2016)

Article Computer Science, Artificial Intelligence

Hierarchical committee of deep convolutional neural networks for robust facial expression recognition

Bo-Kyeong Kim et al.

JOURNAL ON MULTIMODAL USER INTERFACES (2016)

Article Computer Science, Artificial Intelligence

Random Gabor based templates for facial expression recognition in images with facial occlusion

Ligang Zhang et al.

NEUROCOMPUTING (2014)