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 )
Benchmarks
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Most implemented papers
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
protossw512/AdaptiveWingLoss
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ICCV 2019
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.
Deep Alignment Network: A convolutional neural network for robust face alignment
MarekKowalski/DeepAlignmentNetwork
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Our method uses entire face images at all stages, contrary to the recently proposed face alignment methods that rely on local patches.
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Face Analysis Project on MXNet
Latent RANSAC
We present a method that can evaluate a RANSAC hypothesis in constant time, i. e. independent of the size of the data.
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets
starhiking/ATF
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ACM MM 2020
Face alignment is an important task in the field of multi-media.
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
zhuccly/glomface-face-alignment
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CVPR 2022
The occlusion problem heavily degrades the localization performance of face alignment.
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
jiahao-uts/slpt-master
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CVPR 2022
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.
