… with the model and can lead to a compact representation for fast real-time implementations.
Adaptation of the model topology during the deformation can be difficult using these models. …

… , intelligently control substation security, and promote its … real-time detection and recognition
in the actual substation. … of deep learning-based method for detection and recognition …

… learning, object detection, and automatic annotation. Chapter 3 gives brief information about
deep learning … be implemented in real-time detection because the detection time for a single …

… locating defects in real-time metal surface defect detection. The … pixel-level prediction masks
and quickly acquire real defect … boundaries of boundary detection using deep learning[OL]. […

… of traffic safety, and wearing masks in the COVID-19 … Real-time vision based driver
drowsiness detection using partial least squares analysis[J]. Journal of Signal Processing Systems …

… real-time capabilities, making them a recent research focus. As a result, researchers are
currently more focused on the application of deep learning … branch instance masks are clustered …

… , we add dynamic region detection threads and semantic point cloud … masks with higher
accuracy. The generated dynamic region masks are passed into the tracking thread for real-time …

… a CNN that operates in real-time on a conventional GPU, … In the research of deep learning,
some people put their focus on … RetinaMask: Learning to predict masks improves state-of-the-…

… realtime mask-wearing detection systems based on deep learning, which is still with the
problems of false detection, … Yolo-v4 deep learning model for medical face mask detection[C] / / …

… -projection fusion blocks with learnable masks to balance the … the deep learning methods
specifically for mobile MR using a … loss to produce the HDR environment map in real time. To …