[HTML][HTML] A review of deep learning in dentistry
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
Privacy-preserving face recognition using random frequency components
The ubiquitous use of face recognition has sparked increasing privacy concerns, as
unauthorized access to sensitive face images could compromise the information of …
unauthorized access to sensitive face images could compromise the information of …
Single sample face recognition using deep learning: a survey
Face recognition has become popular in the last few decades among researchers across
the globe due to its applicability in several domains. This problem becomes more …
the globe due to its applicability in several domains. This problem becomes more …
Attention-rectified and texture-enhanced cross-attention transformer feature fusion network for facial expression recognition
Facial expression recognition (FER) in the wild is a challenging task for affective computing
in human–machine interaction fields. However, most of the existing methods fail to learn the …
in human–machine interaction fields. However, most of the existing methods fail to learn the …
Deep learning and machine learning techniques for head pose estimation: a survey
Head pose estimation (HPE) has been extensively investigated over the past decade due to
its wide range of applications across several domains of artificial intelligence (AI), resulting …
its wide range of applications across several domains of artificial intelligence (AI), resulting …
Robust weapon detection in dark environments using Yolov7-DarkVision
Currently, weapon detection through video surveillance has been extensively studied using
deep learning techniques by researchers. However, limited attention has been given to the …
deep learning techniques by researchers. However, limited attention has been given to the …
One-shot any-scene crowd counting with local-to-global guidance
Due to different installation angles, heights, and positions of the camera installation in real-
world scenes, it is difficult for crowd counting models to work in unseen surveillance scenes …
world scenes, it is difficult for crowd counting models to work in unseen surveillance scenes …
Three stream based multi-level event contrastive learning for text-video event extraction
Text-video based multimodal event extraction refers to identifying event information from the
given text-video pairs. Existing methods predominantly utilize video appearance features …
given text-video pairs. Existing methods predominantly utilize video appearance features …
Instant Adversarial Purification with Adversarial Consistency Distillation
Neural networks, despite their remarkable performance in widespread applications,
including image classification, are also known to be vulnerable to subtle adversarial noise …
including image classification, are also known to be vulnerable to subtle adversarial noise …
Anime face recognition to create awareness
Due to the researcher's interest in two topics, the first being Japan's anime industry.
Although many anime series have ended, they remain popular today, with over 150 new …
Although many anime series have ended, they remain popular today, with over 150 new …