… of deep learning-based object detection frameworks. Our review begins with a brief introduction
on the history of deep learning and its … Then, we focus on typical generic object detection …

… The deep learning algorithm obtained 0.959 ROC AUC and … Our weakly-supervised deep
learning model can accurately predict … The easily-trained and highperformance deep learning …

… Deep learning methods have … deep learning methods to detect coronavirus infection in
lung images. In this paper, the currently available deep learning methods that are used to detect …

… deep learning technique by using CNN for object detection. The paper also accesses some
deep learning techniques for object detection … The current paper states that deep CNNs work …

… performance evaluation on four models for deep learning, including Fast R-CNN [36], …
detection methods based on deep learning from five aspects, including multi-scale feature learning…

… Raw images were then sent to pre-processing before being applied to the deep learning
method investigated in this study. A filtered variant of the raw images was also created where …

… Given that this work focuses on exploring synthetic training data for deep learning logo
detection regardless the detection model, any other detector [25] can be readily integrated into …

… of classification models for detecting fraud based on different combinations of data. We
consider techniques well established in the fraud detection literature including logistic regression …

… an alternative detector constructed using the tools of deep learning as a CNN … detector
compares to the previous ML detector on a simple sand-boxed setup. In Section “Practical detector…

… of transfer learning and domain adaptation for both table detection and table … a deep
learning-based solution for table detection, where the domain of general purpose object detectors is …