Precise facial landmark detection by reference heatmap transformer
Most facial landmark detection methods predict landmarks by map** the input facial
appearance features to landmark heatmaps and have achieved promising results. However …
appearance features to landmark heatmaps and have achieved promising results. However …
Temporal burstiness and collaborative camouflage aware fraud detection
With the prosperity and development of the digital economy, many fraudsters have emerged
on e-commerce platforms to fabricate fraudulent reviews to mislead consumers' shop** …
on e-commerce platforms to fabricate fraudulent reviews to mislead consumers' shop** …
Stacked attention hourglass network based robust facial landmark detection
Y Huang, H Huang - Neural Networks, 2023 - Elsevier
Deep learning based facial landmark detection (FLD) has made rapid progress. However,
the accuracy and robustness of FLD algorithms are degraded heavily when the face is …
the accuracy and robustness of FLD algorithms are degraded heavily when the face is …
Robust face alignment by dual-attentional spatial-aware capsule networks
Face alignment in-the-wild still faces great challenges due to that i) partial occlusion blurs
the inter-features spatial relations of faces and ii) traditional CNN makes the network more …
the inter-features spatial relations of faces and ii) traditional CNN makes the network more …
A facial landmark detection method based on deep knowledge transfer
Facial landmark detection is a crucial preprocessing step in many applications that process
facial images. Deep-learning-based methods have become mainstream and achieved …
facial images. Deep-learning-based methods have become mainstream and achieved …
Autism detection in children based on facial image data using RPY axial facial features and Dual Phase Net model
N Attar, S Paygude - Multimedia Tools and Applications, 2024 - Springer
Abstract Autism Spectrum Disorder (ASD) causing problems in social interaction and
communication. Numerous studies for detecting autism in children result in a risk of losing …
communication. Numerous studies for detecting autism in children result in a risk of losing …
Tracking with mutual attention network
Visual tracking is a visual task that tracks a specific target by only giving its first frame
location and size. To punish the low-quality but high-scoring tracking results, researchers …
location and size. To punish the low-quality but high-scoring tracking results, researchers …
Local eye-net: An attention based deep learning architecture for localization of eyes
Abstract Development of human machine interface has become a necessity for modern day
machines to catalyze more autonomy and more efficiency. Gaze driven human intervention …
machines to catalyze more autonomy and more efficiency. Gaze driven human intervention …
Automatic labeling of facial zones for digital clinical application: An ensemble of semantic segmentation models
R Tuazon, S Mortezavi - Skin Research and Technology, 2024 - Wiley Online Library
Introduction The application of artificial intelligence to facial aesthetics has been limited by
the inability to discern facial zones of interest, as defined by complex facial musculature and …
the inability to discern facial zones of interest, as defined by complex facial musculature and …