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Robust lightweight facial expression recognition network with label distribution training
This paper presents an efficiently robust facial expression recognition (FER) network, named
EfficientFace, which holds much fewer parameters but more robust to the FER in the wild …
EfficientFace, which holds much fewer parameters but more robust to the FER in the wild …
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
Deep label distribution learning with label ambiguity
Convolutional neural networks (ConvNets) have achieved excellent recognition
performance in various visual recognition tasks. A large labeled training set is one of the …
performance in various visual recognition tasks. A large labeled training set is one of the …
Mean-variance loss for deep age estimation from a face
Age estimation has broad application prospects of many fields, such as video surveillance,
social networking, and human-computer interaction. However, many of the published age …
social networking, and human-computer interaction. However, many of the published age …
Deep regression forests for age estimation
Age estimation from facial images is typically cast as a nonlinear regression problem. The
main challenge of this problem is the facial feature space wrt ages is inhomogeneous, due …
main challenge of this problem is the facial feature space wrt ages is inhomogeneous, due …
[PDF][PDF] Age estimation using expectation of label distribution learning.
Age estimation performance has been greatly improved by using convolutional neural
network. However, existing methods have an inconsistency between the training objectives …
network. However, existing methods have an inconsistency between the training objectives …
Feature selection for label distribution learning via feature similarity and label correlation
W Qian, Y **ong, J Yang, W Shu - Information Sciences, 2022 - Elsevier
Feature selection plays a crucial role in machine learning and data mining, and improves
the performance of learning models by selecting a distinguishing feature subset and …
the performance of learning models by selecting a distinguishing feature subset and …
Comprehensive analysis of the literature for age estimation from facial images
Recently, vast attention has grown in the field of computer vision, especially in face
recognition, detection, and facial landmarks localization. Many significant features can be …
recognition, detection, and facial landmarks localization. Many significant features can be …
Multi-contextual learning in disinformation research: a review of challenges, approaches, and opportunities
Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
Joint acne image grading and counting via label distribution learning
Accurate grading of skin disease severity plays a crucial role in precise treatment for
patients. Acne vulgaris, the most common skin disease in adolescence, can be graded by …
patients. Acne vulgaris, the most common skin disease in adolescence, can be graded by …