.... Three convolutional neural network models (deep object pose estimation (DOPE), DOPE2, and You Only Look Once (YOLO)-6D) are trained with the dataset to predict the foot pose in real-time. The model performances are evaluated using metrics for accuracy, computational efficiency, and training time...

... on a combination of a convolutional neural network (CNN) and the heat kernel signature for triangle meshes. In this paper, we constructed a classification method based on rotation invariant shape descriptors and a neural network, and it achieved better accuracy than all previous methods. This method uses a point...

..., bring huge economic losses and environmental pollution, but may also cause casualties. Therefore, it is particularly important to identify and monitor the performance degradation of mechanical equipment. Based on the convolutional neural network (CNN), a stacking incremental deformable residual block...

... has been developed and studied on a test dataset. The classifier is based on an ensemble that contains a stack of two deep convolutional neural networks, ResNet50 and ResNet152. The proposed technique allows classifying images with high accuracy, while recognizing three classes of defects...