... understanding of the topology. By integrating this loss function into deep neural networks, we can incorporate topological priors into the learning process, enhancing the network’s performance in topology recognition tasks. Palagyi (2002) has demonstrated that morphological operations, specifically...

... servo and adjustment based on force/torque feedback, the authors use deep neural network (DNN) and image processing techniques to determine the pose of hole, then an incremental learning approach based on a broad learning system (BLS) is used to simulate human learning ability, the number of adjustments...

... networks for stereo vision, which usually use the 2D or RGB-D image collected by the sensor as the input to directly realize the regression of the depth maps. It is a research hotspot in auto driving (Guo et al., 2020). However, it is rare to use stereo vision based on deep neural network...