Fsa-net: Learning fine-grained structure aggregation for head pose estimation from a single image
This paper proposes a method for head pose estimation from a single image. Previous
methods often predict head poses through landmark or depth estimation and would require …
methods often predict head poses through landmark or depth estimation and would require …
Synergy between 3dmm and 3d landmarks for accurate 3d facial geometry
This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …
Whenet: Real-time fine-grained estimation for wide range head pose
Y Zhou, J Gregson - arxiv preprint arxiv:2005.10353, 2020 - arxiv.org
We present an end-to-end head-pose estimation network designed to predict Euler angles
through the full range head yaws from a single RGB image. Existing methods perform well …
through the full range head yaws from a single RGB image. Existing methods perform well …
Learning probabilistic ordinal embeddings for uncertainty-aware regression
Uncertainty is the only certainty there is. Modeling data uncertainty is essential for
regression, especially in unconstrained settings. Traditionally the direct regression …
regression, especially in unconstrained settings. Traditionally the direct regression …
Combining weight pruning and knowledge distillation for cnn compression
Complex deep convolutional neural networks such as ResNet require expensive hardware
such as powerful GPUs to achieve real-time performance. This problem is critical for …
such as powerful GPUs to achieve real-time performance. This problem is critical for …
C3AE: Exploring the limits of compact model for age estimation
Age estimation is a classic learning problem in computer vision. Many larger and deeper
CNNs have been proposed with promising performance, such as AlexNet, VggNet …
CNNs have been proposed with promising performance, such as AlexNet, VggNet …
Adaptive variance based label distribution learning for facial age estimation
Estimating age from a single facial image is a classic and challenging topic in computer
vision. One of its most intractable issues is label ambiguity, ie, face images from adjacent …
vision. One of its most intractable issues is label ambiguity, ie, face images from adjacent …
FDN: Feature decoupling network for head pose estimation
Head pose estimation from RGB images without depth information is a challenging task due
to the loss of spatial information as well as large head pose variations in the wild. The …
to the loss of spatial information as well as large head pose variations in the wild. The …
Face image age estimation based on data augmentation and lightweight convolutional neural network
X Liu, Y Zou, H Kuang, X Ma - Symmetry, 2020 - mdpi.com
Face images contain many important biological characteristics. The research directions of
face images mainly include face age estimation, gender judgment, and facial expression …
face images mainly include face age estimation, gender judgment, and facial expression …
AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images
Nowadays, the growing number of cases of possession and distribution of Child Sexual
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …