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Facial Landmark Detection

19 papers with code ยท Computer Vision

Facial landmark detection is the task of detecting key landmarks on the face and tracking them (being robust to rigid and non-rigid facial deformations due to head movements and facial expressions).

( Image credit: Style Aggregated Network for Facial Landmark Detection )

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Latest papers without code

A Detailed Look At CNN-based Approaches In Facial Landmark Detection

8 May 2020

To the best of our knowledge, using the PWC model to detect facial landmarks have not been comprehensively studied.

FACIAL LANDMARK DETECTION

Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking

5 Apr 2020

These 1D heatmaps reduce spatial complexity significantly compared to current heatmap regression methods, which use 2D heatmaps to represent the joint distributions of x and y coordinates.

FACE ALIGNMENT FACIAL LANDMARK DETECTION LANDMARK TRACKING QUANTIZATION

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence

18 Mar 2020

Researches show that fatigue driving is one of the important causes of road traffic accidents, so it is of great significance to study the driver fatigue recognition algorithm to improve road traffic safety.

FACE DETECTION FACIAL LANDMARK DETECTION HEAD POSE ESTIMATION

Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild

8 Mar 2020

The proposed model is equipped with a novel detection head based on heatmap regression.

FACIAL LANDMARK DETECTION

Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification

10 Feb 2020

Two different network architectures are respectively designed to extract features for two groups of attributes, and a novel dynamic weighting scheme is proposed to automatically assign the loss weight to each facial attribute during training.

FACE DETECTION FACIAL ATTRIBUTE CLASSIFICATION FACIAL LANDMARK DETECTION MULTI-LABEL LEARNING MULTI-TASK LEARNING

Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach

9 Jan 2020

In this paper, we come up with a novel image coding framework by leveraging both the compressive and the generative models, to support machine vision and human perception tasks jointly.

FACIAL LANDMARK DETECTION IMAGE RECONSTRUCTION

Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces

7 Jan 2020

In this work, we present a practical approach to the problem of facial landmark detection.

FACE RECOGNITION FACIAL LANDMARK DETECTION

LEARNING TO IMPUTE: A GENERAL FRAMEWORK FOR SEMI-SUPERVISED LEARNING

ICLR 2020

Recent semi-supervised learning methods have shown to achieve comparable results to their supervised counterparts while using only a small portion of labels in image classification tasks thanks to their regularization strategies.

FACIAL LANDMARK DETECTION IMAGE CLASSIFICATION

Learning to Impute: A General Framework for Semi-supervised Learning

ICLR 2020

Recent semi-supervised learning methods have shown to achieve comparable results to their supervised counterparts while using only a small portion of labels in image classification tasks thanks to their regularization strategies.

FACIAL LANDMARK DETECTION IMAGE CLASSIFICATION