<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Real-time Image Semantic Segmentation Networks with Residual Depth-wise Separable Blocks"^^ . "—Semantic image segmentation plays a key role in\r\nobtaining pixel-level understanding of images. In recent years,\r\nresearchers have tackled this problem by using deep learning\r\nmethods instead of traditional computer vision methods (eg [25]).\r\nBecause of the development of technologies like autonomous\r\nvehicles and indoor robots, segmentation techniques, that have\r\nnot only high accuracy but also the capability of running in\r\nreal-time on embedded platform and mobile devices, are in high\r\ndemand. In this work, we have proposed a new convolutional\r\nmodule, named Residual depth-wise separable, and a fast and\r\nefficient convolutional neural network for segmentation. The\r\nproposed method is compared against other state of the art\r\nreal-time models. The experiment results illustrate that our\r\nmethod is efficient in computation while achieves state of the\r\nart performance in term of accuracy"^^ . "2018-12-05" . . . . . . . . . . . . . . . . . . . . "Do Van"^^ . "Nguyen"^^ . "Do Van Nguyen"^^ . . "Van Viet"^^ . "Doan"^^ . "Van Viet Doan"^^ . . "Duy Hung"^^ . "Nguyen"^^ . "Duy Hung Nguyen"^^ . . "Thanh Ha"^^ . "Le"^^ . "Thanh Ha Le"^^ . . "Quoc Long"^^ . "Tran"^^ . "Quoc Long Tran"^^ . . . . "2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop"^^ . . . . . "Toyama, Japan"^^ . . . . . . "Real-time Image Semantic Segmentation Networks with Residual Depth-wise Separable Blocks (PDF)"^^ . . . "review_2.pdf"^^ . . "HTML Summary of #3263 \n\nReal-time Image Semantic Segmentation Networks with Residual Depth-wise Separable Blocks\n\n" . "text/html" . . . "Information Technology (IT)"@en . .