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A survey on deep learning and its applications
Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …
Past, present, and future of face recognition: A review
Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …
recognition, with many practical and commercial applications including identification, access …
Deep-learning-enhanced multitarget detection for end–edge–cloud surveillance in smart IoT
Along with the rapid development of cloud computing, IoT, and AI technologies, cloud video
surveillance (CVS) has become a hotly discussed topic, especially when facing the …
surveillance (CVS) has become a hotly discussed topic, especially when facing the …
Recent advances in small object detection based on deep learning: A review
Small object detection is a challenging problem in computer vision. It has been widely
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …
Object detection in 20 years: A survey
Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …
vision, has received great attention in recent years. Over the past two decades, we have …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Retinaface: Single-shot multi-level face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
Retinaface: Single-stage dense face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient face localisation in the wild remains an open challenge. This paper presents a …
efficient face localisation in the wild remains an open challenge. This paper presents a …
Imbalance problems in object detection: A review
In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
Deep learning for generic object detection: A survey
Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …
seeks to locate object instances from a large number of predefined categories in natural …