Attention|Guided Coarse|to|Fine Network for 2D Face Alignment in ...

Attention-Guided Coarse-to-Fine Network for 2D Face Alignment in ...

Methods based on stacked hourglass networks (SHNs) have achieved great progress in face alignment tasks. However, most of these algorithms have met with ...

Attention-Guided Coarse-to-Fine Network for 2D Face Alignment in ...

Zhang, “Stacked hourglass network for robust facial landmark localisation,” in Proceedings of the IEEE Conference on. Computer Vision and Pattern Recognition ...

Attention-Guided Coarse-to-Fine Network for 2D Face Alignment in ...

PDF | Methods based on stacked hourglass networks (SHNs)B have achievedB great progressB inB face alignmentB tasks. However, most of these algorithms.

Multi-scale attention guided network for end-to-end face alignment ...

A multi-scale channel attention network with an adaptive fusion strategy (MSCAN-AFF) is proposed for face recognition. · Our MSCAN-AFF guides the backbone ...

Multi-Attention Network for 2D Face Alignment in the Wild

Most existing algorithms based on Convolutional Neural Networks (CNNs) for face alignment ignore the significance of attention mechanism.

A Coarse-to-Fine Facial Landmark Detection Method Based on Self ...

... two stacked hourglasses as the backbone, with a new landmark-guided self-attention (LGSA) block ... Mixed attention hourglass network for robust face alignment.

Face alignment recurrent network - ScienceDirect.com

This paper presents a new facial landmark detection method for images and videos under uncontrolled conditions, based on a proposed Face Alignment Recurrent ...

Face Alignment | Papers With Code

Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain ...

[PDF] Coarse-to-fine Face Alignment with Multi-Scale Local Patch ...

A brief introduction to a coarse-to-fine pipeline with neural networks and sequential regression for facial landmark localization and it outperforms the ...

arXiv:2007.15269v1 [cs.CV] 30 Jul 2020

Our re- sults demonstrate improvements in both accuracy and stability of detected facial landmarks. Introduction. 2D facial landmark detection ...

How Far Are We From Solving the 2D & 3D Face Alignment Problem ...

nally evaluate it on all other 2D facial landmark datasets. (b) We create a guided by 2D landmarks network which con- verts 2D landmark annotations to 3D ...

How far are we from solving the 2D & 3D Face Alignment problem ...

This paper investigates how far a very deep neural network is from attaining close to saturating performance on existing 2D and 3D face alignment datasets.

Explicit Attention Network for Face Alignment - ACM Digital Library

In this paper, we propose a novel Explicit Attention network for Face Alignment (EAFA), which applies explicit supervision on attention feature ...

fire: 2D and 3D Face alignment library build using pytorch - GitHub

Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates.

Attention-Driven Cropping for Very High Resolution Facial ...

Landmark detection is one of the classical machine learning tasks in computer vision, nowadays almost en- tirely solved via deep neural networks. While these ...

Robust face alignment via adaptive attention-based graph ...

Most existing algorithms based on Convolutional Neural Networks (CNNs) for face alignment ignore the significance of attention mechanism. In ...

Channel Spatial Attention Network for Robust 3D Face Alignment ...

Although our proposed model was able to increase face alignment accuracy on face images with partial occlusion or significant light variation, ...

Shape Preserving Facial Landmarks with Graph Attention Networks

... 2D facial alignment in- the-wild. It improves ... A deeply- initialized coarse-to-fine ensemble of regression trees for face alignment.

Heatmap-Guided Selective Feature Attention for Robust Cascaded ...

The proposed network improves the performance of face alignment by selecting valid feature maps for heatmap and coordinate regression and using the background ...

Robust face alignment via adaptive attention-based graph ...

We address the problem of robust face alignment in the presence of occlusions, which remains a lingering problem in facial analysis despite ...