Cargando…

Hybrid Attention Cascade Network for Facial Expression Recognition

As a sub-challenge of EmotiW (the Emotion Recognition in the Wild challenge), how to improve performance on the AFEW (Acted Facial Expressions in the wild) dataset is a popular benchmark for emotion recognition tasks with various constraints, including uneven illumination, head deflection, and facia...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhu, Xiaoliang, Ye, Shihao, Zhao, Liang, Dai, Zhicheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002145/ https://www.ncbi.nlm.nih.gov/pubmed/33809038 http://dx.doi.org/10.3390/s21062003

Ejemplares similares

A Cascade Attention Based Facial Expression Recognition Network by Fusing Multi-Scale Spatio-Temporal Features
por: Zhu, Xiaoliang, et al.
Publicado: (2022)

Hybrid Domain Consistency Constraints-Based Deep Neural Network for Facial Expression Recognition
por: Zhu, Xiaoliang, et al.
Publicado: (2023)

Facial Expression Recognition: One Attention-Modulated Contextual Spatial Information Network
por: Li, Xue, et al.
Publicado: (2022)

Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition
por: Wen, Zhengyao, et al.
Publicado: (2023)

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
por: Minaee, Shervin, et al.
Publicado: (2021)

Multimodal Attention Dynamic Fusion Network for Facial Micro-Expression Recognition
por: Yang, Hongling, et al.
Publicado: (2023)

Occlusion facial expression recognition based on feature fusion residual attention network
por: Chen, Yuekun, et al.
Publicado: (2023)

A facial depression recognition method based on hybrid multi-head cross attention network
por: Li, Yutong, et al.
Publicado: (2023)

Facial Expression Recognition Using Local Sliding Window Attention
por: Qiu, Shuang, et al.
Publicado: (2023)

Multi-scale fusion visual attention network for facial micro-expression recognition
por: Pan, Hang, et al.
Publicado: (2023)

Patch Attention Layer of Embedding Handcrafted Features in CNN for Facial Expression Recognition
por: Liang, Xingcan, et al.
Publicado: (2021)

CNN-LSTM Facial Expression Recognition Method Fused with Two-Layer Attention Mechanism
por: Ming, Ye, et al.
Publicado: (2022)

Facial Expression Recognition Based on Fine-Tuned Channel–Spatial Attention Transformer
por: Yao, Huang, et al.
Publicado: (2023)

Comparison of Subjective Facial Emotion Recognition and “Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection” between Patients with Schizophrenia and Healthy Participants
por: Akiyama, Toshiya, et al.
Publicado: (2022)

Facial Expression Influences Face Identity Recognition During the Attentional Blink
por: Bach, Dominik R., et al.
Publicado: (2014)

Aircraft Image Recognition Network Based on Hybrid Attention Mechanism
por: Wang, Yanfeng, et al.
Publicado: (2022)

FERGCN: facial expression recognition based on graph convolution network
por: Liao, Lei, et al.
Publicado: (2022)

The Effects of Facial Attractiveness and Familiarity on Facial Expression Recognition
por: Li, Jinhui, et al.
Publicado: (2019)

Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023)

Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP
por: Liao, Jun, et al.
Publicado: (2023)

Self-Difference Convolutional Neural Network for Facial Expression Recognition
por: Liu, Leyuan, et al.
Publicado: (2021)

Facial expression (mood) recognition from facial images using committee neural networks
por: Kulkarni, Saket S, et al.
Publicado: (2009)

Graph based feature extraction and hybrid classification approach for facial expression recognition
por: Krithika, L. B., et al.
Publicado: (2020)

Facial expression recognition method based on PSA—YOLO network
por: Ma, Ruoling, et al.
Publicado: (2023)

Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition †
por: Lee, Min Kyu, et al.
Publicado: (2020)

Emotional attention capture by facial expressions
por: Sawada, Reiko, et al.
Publicado: (2015)

The aftereffect of the ensemble average of facial expressions on subsequent facial expression recognition
por: Minemoto, Kazusa, et al.
Publicado: (2022)

Facial expression at retrieval affects recognition of facial identity
por: Chen, Wenfeng, et al.
Publicado: (2015)

Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition
por: Jeong, Dami, et al.
Publicado: (2020)

Facial expression recognition based on improved depthwise separable convolutional network
por: Huo, Hua, et al.
Publicado: (2022)

Blocking facial mimicry affects recognition of facial and body expressions
por: Borgomaneri, Sara, et al.
Publicado: (2020)

Corrigendum: Facial expression recognition method based on PSA—YOLO network
por: Ma, Ruoling, et al.
Publicado: (2023)

Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition
por: Wu, Danning, et al.
Publicado: (2021)

Constructive Autoassociative Neural Network for Facial Recognition
por: Fernandes, Bruno J. T., et al.
Publicado: (2014)

Expression-Guided Deep Joint Learning for Facial Expression Recognition
por: Fang, Bei, et al.
Publicado: (2023)

Robust Facial Expression Recognition via Compressive Sensing
por: Zhang, Shiqing, et al.
Publicado: (2012)

Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems
por: Siddiqi, Muhammad Hameed, et al.
Publicado: (2013)

Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition
por: Mekruksavanich, Sakorn, et al.
Publicado: (2023)

Enhanced Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition
por: Xu, Xiaolin, et al.
Publicado: (2022)

Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework
por: Ullah, Hayat, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_k9eumsv0ijif8hrdhc5uiou2ap