Robust Face Alignment
7 papers with code • 0 benchmarks • 0 datasets
Robust face alignment is the task of face alignment in unconstrained (non-artificial) conditions.
( Image credit: Deep Alignment Network )
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Then we propose a novel loss function, named Adaptive Wing loss, that is able to adapt its shape to different types of ground truth heatmap pixels.
Our method uses entire face images at all stages, contrary to the recently proposed face alignment methods that rely on local patches.
The SLPT generates the representation of each single landmark from a local patch and aggregates them by an adaptive inherent relation based on the attention mechanism.