Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learningEmpower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning

Computer Communications 20242024

Shaoqi Yan, Yan Wang, Xinji Mai, Qing Zhao, Wei Song, Jun Huang, Zeng Tao, Haoran Wang, Shuyong Gao, Wenqiang Zhang

Figure from the 图片来源：author’s project page作者项目页面 ↗

SW-FSCL combines dual-stream dynamic sampling, key-frame weighting and frame-sequence contrastive learning to reduce neutral and noisy frames in expression recognition.

SW-FSCL 结合双流动态采样、关键帧加权和帧序列对比学习，减轻中性帧与噪声帧对表情识别的影响。