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Found 4 papers, 1 papers with code
Dynamic Resolution Guidance for Facial Expression Recognition
Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging.
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
In this work, we propose PMFSNet, a novel medical imaging segmentation model that effectively balances global and local feature processing while avoiding the computational redundancy typical in larger models.
Multi Loss-based Feature Fusion and Top Two Voting Ensemble Decision Strategy for Facial Expression Recognition in the Wild
Different from previous studies, this paper applies both internal feature fusion for a single model and feature fusion among multiple networks, as well as the ensemble strategy.
Facial Expression Recognition
Facial Expression Recognition (FER)
Uncover Common Facial Expressions in Terracotta Warriors: A Deep Learning Approach
At the same time, the lack of public high-quality facial expression data of the Terracotta Warriors also limits the use of deep learning technologies.
