{"id":101913,"date":"2025-05-27T07:42:38","date_gmt":"2025-05-27T07:42:38","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-ddu-net-%db%8c%da%a9-cnn-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d8%af\/"},"modified":"2025-05-27T07:42:38","modified_gmt":"2025-05-27T07:42:38","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-ddu-net-%db%8c%da%a9-cnn-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d8%af","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-ddu-net-%db%8c%da%a9-cnn-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d8%af\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 DDU-Net: \u06cc\u06a9 CNN \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u062c\u0632\u06cc\u0647 \u062f\u0627\u0645\u0646\u0647 \u0628\u0631\u0627\u06cc \u0642\u0637\u0639\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0648\u0636\u0648\u062d \u0628\u0627\u0644\u0627 \u0631\u0648\u06cc \u0686\u0646\u062f\u06cc\u0646 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nDDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 DDU-Net: \u06cc\u06a9 CNN \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u062c\u0632\u06cc\u0647 \u062f\u0627\u0645\u0646\u0647 \u0628\u0631\u0627\u06cc \u0642\u0637\u0639\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0648\u0636\u0648\u062d \u0628\u0627\u0644\u0627 \u0631\u0648\u06cc \u0686\u0646\u062f\u06cc\u0646 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nCorn\u00e9 Verburg, Alexander Heinlein, Eric C. Cyr<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nPDF<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n23<\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nComputer Vision and Pattern Recognition,Distributed, Parallel, and Cluster Computing,Machine Learning,\u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0644\u06af\u0648\u06cc , \u062a\u0648\u0632\u06cc\u0639 , \u0645\u0648\u0627\u0632\u06cc \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u062e\u0648\u0634\u0647 \u0627\u06cc , \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 31 July, 2024; v1 submitted 30 July, 2024; originally announced July 2024. , MSC Class: 68T07; 68W10; 68W15; 65N55; 68U10 ACM Class: I.2.6; I.4.6<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0633\u0627\u0644 31 \u0698\u0648\u0626\u06cc\u0647 2024 \u061bV1 \u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 30 \u0698\u0648\u0626\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u062f\u0631 \u0698\u0648\u0626\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f \u060c \u06a9\u0644\u0627\u0633 MSC: 68T07 \u061b68W10 \u061b68W15 \u061b65N55 \u061b\u06a9\u0644\u0627\u0633 68U10 ACM: I.2.6 \u061bI.4.6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u062e\u0631\u06cc\u062f<\/h3>\n
\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0641\u0627\u06cc\u0644 PDF \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 19,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 99,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0648 \u062a\u0631\u062c\u0645\u0647 \u06a9\u0627\u0645\u0644 \u0622\u0646\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 920,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n

\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644: 2 \u062a\u0627 3 \u0631\u0648\u0632 \u06a9\u0627\u0631\u06cc<\/p>\n<\/p><\/div>\n<\/p><\/div>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

The segmentation of ultra-high resolution images poses challenges such as loss of spatial information or computational inefficiency. In this work, a novel approach that combines encoder-decoder architectures with domain decomposition strategies to address these challenges is proposed. Specifically, a domain decomposition-based U-Net (DDU-Net) architecture is introduced, which partitions input images into non-overlapping patches that can be processed independently on separate devices. A communication network is added to facilitate inter-patch information exchange to enhance the understanding of spatial context. Experimental validation is performed on a synthetic dataset that is designed to measure the effectiveness of the communication network. Then, the performance is tested on the DeepGlobe land cover classification dataset as a real-world benchmark data set. The results demonstrate that the approach, which includes inter-patch communication for images divided into $16times16$ non-overlapping subimages, achieves a $2-3,%$ higher intersection over union (IoU) score compared to the same network without inter-patch communication. The performance of the network which includes communication is equivalent to that of a baseline U-Net trained on the full image, showing that our model provides an effective solution for segmenting ultra-high-resolution images while preserving spatial context. The code is available at https:\/\/github.com\/corne00\/HiRes-Seg-CNN.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u062a\u0642\u0633\u06cc\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0648\u0636\u0648\u062d \u0641\u0648\u0642 \u0627\u0644\u0639\u0627\u062f\u0647 \u0628\u0627\u0644\u0627 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u062c\u0645\u0644\u0647 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u06a9\u0627\u0646\u06cc \u06cc\u0627 \u0646\u0627\u06a9\u0627\u0631\u0622\u0645\u062f\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.\u062f\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u060c \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062c\u062f\u06cc\u062f \u06a9\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0631\u0645\u0632\u06af\u0630\u0627\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc \u0647\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u062f\u0627\u0645\u0646\u0647 \u0628\u0631\u0627\u06cc \u0631\u0641\u0639 \u0627\u06cc\u0646 \u0686\u0627\u0644\u0634 \u0647\u0627 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc \u06a9\u0646\u062f \u060c \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.\u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635 \u060c \u06cc\u06a9 \u0645\u0639\u0645\u0627\u0631\u06cc U-NET \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u062c\u0632\u06cc\u0647 \u062f\u0627\u0645\u0646\u0647 (DDU-NET) \u0645\u0639\u0631\u0641\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u06a9\u0647 \u067e\u0627\u0631\u062a\u06cc\u0634\u0646 \u0647\u0627 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u062a\u06a9\u0647 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u0646\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u0644 \u062f\u0631 \u062f\u0633\u062a\u06af\u0627\u0647 \u0647\u0627\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u0648\u0646\u062f.\u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0628\u0631\u0627\u06cc \u062a\u0633\u0647\u06cc\u0644 \u062a\u0628\u0627\u062f\u0644 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0646 \u067e\u0686 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u062a\u0642\u0648\u06cc\u062a \u062f\u0631\u06a9 \u0632\u0645\u06cc\u0646\u0647 \u0645\u06a9\u0627\u0646\u06cc \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u0634\u0648\u062f.\u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u062a\u062c\u0631\u0628\u06cc \u0628\u0631 \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0627\u062b\u0631\u0628\u062e\u0634\u06cc \u0634\u0628\u06a9\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.\u0633\u067e\u0633 \u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0631 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u067e\u0648\u0634\u0634 DeepGlobe Land \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0639\u06cc\u0627\u0631 \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u06cc \u0634\u0648\u062f.\u0646\u062a\u0627\u06cc\u062c \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u060c \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0628\u06cc\u0646 \u0628\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u062a\u0642\u0633\u06cc\u0645 \u0634\u062f\u0647 \u0628\u0647 \u0632\u06cc\u0631\u0632\u0645\u06cc\u0646 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0647\u0645\u067e\u0648\u0634\u0627\u0646\u06cc 16 $ $ 16 $ \u0627\u0633\u062a \u060c \u0628\u0647 \u06cc\u06a9 \u062a\u0642\u0627\u0637\u0639 \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u0632 2-3 $ \u060c \u066a $ \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u0632 \u0627\u062a\u062d\u0627\u062f\u06cc\u0647 (IOU) \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0647\u0645\u0627\u0646 \u0634\u0628\u06a9\u0647 \u0645\u06cc \u0631\u0633\u062f\u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0628\u06cc\u0646 \u067e\u0686.\u0639\u0645\u0644\u06a9\u0631\u062f \u0634\u0628\u06a9\u0647 \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0645\u06cc \u0634\u0648\u062f \u060c \u0645\u0639\u0627\u062f\u0644 \u0622\u0646 \u0628\u0627 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 U-Net \u0627\u0633\u062a \u06a9\u0647 \u0631\u0648\u06cc \u062a\u0635\u0648\u06cc\u0631 \u06a9\u0627\u0645\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0633\u062a \u060c \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u06cc\u06a9 \u0631\u0627\u0647 \u062d\u0644 \u0645\u0624\u062b\u0631 \u0628\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0628\u0627 \u0648\u0636\u0648\u062d \u0641\u0648\u0642 \u0627\u0644\u0639\u0627\u062f\u0647 \u0628\u0627\u0644\u0627 \u0636\u0645\u0646 \u062d\u0641\u0638 \u0632\u0645\u06cc\u0646\u0647 \u0641\u0636\u0627\u06cc\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.\u0627\u06cc\u0646 \u06a9\u062f \u062f\u0631 https:\/\/github.com\/corne00\/hires-seg-cnn \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a.<\/p>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

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