AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition. (arXiv:2205.11785v1 [cs.CV])

2D+3D facial expression recognition (FER) can effectively cope with
illumination changes and pose variations by simultaneously merging 2D texture
and more robust 3D depth information. Most deep learning-based approaches
employ the simple fusion strategy that concatenates the multimodal features
directly after fully-connected layers, without considering the different
degrees of significance for each modality. Meanwhile, how to focus on both 2D
and 3D local features in salient regions is still a great challenge. In this
letter, we propose the adaptive fusion …

3d arxiv cv fusion masks network