Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment

1 code implementation • 30 Aug 2019 • Lei Jiang Xiao-Jun Wu Josef Kittler

3D face alignment of monocular images is a crucial process in the recognition of faces with disguise. 3D face reconstruction facilitated by alignment can restore the face structure which is helpful in detcting disguise interference. This paper proposes a dual attention mechanism and an efficient end-to-end 3D face alignment framework. We build a stable network model through Depthwise Separable Convolution, Densely Connected Convolutional and Lightweight Channel Attention Mechanism.

3D Face Alignment 3D Face Reconstruction +1