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Attentive One|Dimensional Heatmap Regression for Facial ...


Adaptive Wing Loss for Robust Face Alignment via Heatmap ...

output one predicted heatmap for each landmark, respectively. An ... Two-stage con- volutional part heatmap regression for the 1st 3d face align-.

Attentive One-Dimensional Heatmap Regression for Facial ...

To address this, we propose a novel attentive one-dimensional heatmap regression method for facial landmark localization. First, we predict two groups of 1D ...

Adversarial Stacking Ensemble for Facial Landmark Tracking

Related · Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking · Capturing Spatial and Temporal Patterns for Facial Landmark ...

Is regression based method better than heatmap based? #7 - GitHub

The reason why I initially chose regression method is that inference speed is what I really care about most. Personally, I guess one-hot mask ( ...

Deep Recurrent Regression with a Heatmap Coupling Module for ...

Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. In: 28th ACM International Conference on Multimedia; 2020. p. 538 ...

‪Cong Liang‬ - ‪Google Scholar‬

Attentive one-dimensional heatmap regression for facial landmark detection and tracking‏. S Yin, S Wang, X Chen, E Chen, C Liang‏. Proceedings of the 28th ACM ...

‪Shi Yin‬ - ‪Google Scholar‬

Attentive one-dimensional heatmap regression for facial landmark detection and tracking. S Yin, S Wang, X Chen, E Chen, C Liang. Proceedings of the 28th ACM ...

Facial Landmarks Localization using Cascaded Neural Networks

The CCNN consists of base CNNs, preceding the cascaded heatmap subnetwork (CHCNN) esti- mating the heatmaps, and the cascaded regression CNN (CRCNN) refining.

Branched convolutional neural networks incorporated with Jacobian ...

Bulat and Tzimiropoulos (2016) proposed two-stage convolutional part heatmap regression to solve 3D facial landmark detection problem. Afterwards, they ...

An improved boundary-aware face alignment using stacked dense ...

The proposed method consists of two stages: a boundary heatmap estimation stage to learn the facial boundary lines and a facial landmark ...

johnbhlm/face-align: facial landmark detection & face ... - GitHub

AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression ... RAR:Robust facial land- mark detection via recurrent attentive-refinement networks ...

Survey on Loss for Heatmap Regression : r/deeplearning - Reddit

Most papers on facial landmark detection with heatmaps talk about MSE, so my quick and dirty model implemented it. I tried the ce loss to see if ...

An Efficient Coarse-to-Fine Facial Landmark Detection Network

The heatmap regression method predicts individual coordi- nate points one by one. Although this final prediction result is more accurate, there ...

Facial Anatomical Landmark Detection using Regularized Transfer ...

Current deep learning-based heatmap regression methods designed for facial landmark detection in natural images assume availability of large ...

Better initialization for regression-based face alignment

Regression-based face alignment algorithms predict facial landmarks by iteratively updating an initial shape, and hence are always limited by the initialization ...

PAttNet: Patch-attentive deep network for action unit detection

One is that current approaches implicitly assume that facial ... Joint action unit local- isation and intensity estimation through heatmap regression.

A Simple Coordinate Classification Perspective for Human Pose ...

... heatmap regression for bottom-up human pose estimation. ... Attentive one-dimensional heatmap regression for facial landmark detection and tracking (2020)

Facial Landmark Detection - Wiley Online Library

Attentive one-dimensional heatmap regression for facial landmark detection and tracking . ACM International Conference on Multimedia , 538 ...

SD-HRNet: Slimming and Distilling High-Resolution Network for ...

... model to jointly learn the deep feature extraction and facial landmark heatmap regression. ... facial landmark detection via recurrent attentive ...

A Self-Diversified Multi-Channel Attention For Facial Action Analysis

convincing and which one is not ... Region of interest based graph convolution: A heatmap regression approach for action unit detection.