Cargando…
AM3F-FlowNet: Attention-Based Multi-Scale Multi-Branch Flow Network
Micro-expressions are the small, brief facial expression changes that humans momentarily show during emotional experiences, and their data annotation is complicated, which leads to the scarcity of micro-expression data. To extract salient and distinguishing features from a limited dataset, we propos...
Autores principales: | Fu, Chenghao, Yang, Wenzhong, Chen, Danny, Wei, Fuyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378207/ https://www.ncbi.nlm.nih.gov/pubmed/37510012 http://dx.doi.org/10.3390/e25071064 |
Ejemplares similares
-
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection
Publicado: (2020) -
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
por: Xie, Zhifeng, et al.
Publicado: (2020) -
NetFlow: A tool for isolating carbon flows in genome-scale metabolic networks
por: Mack, Sean G., et al.
Publicado: (2020) -
MHAU-Net: Skin Lesion Segmentation Based on Multi-Scale Hybrid Residual Attention Network
por: Li, Yingjie, et al.
Publicado: (2022) -
Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation
por: Dayananda, Chaitra, et al.
Publicado: (2021)