| Interactive image segmentation on a sequence of user clicks performed by a trained neural network for interactive image segmentation | |
| 2023-08-01 | |
| 专利权人 | SAMSUNG ELECTRONICS CO LTD (SMSU-C) |
| 申请日期 | 2023-08-01 |
| 专利号 | RU2833268-C1 |
| 成果简介 | NOVELTY - Invention relates to a method for interactive image segmentation based on a sequence of user clicks performed by a trained neural network for interactive image segmentation. Method comprises steps of: feeding to the input of a neural network an image, coordinates of a user click; predicted segmentation mask is obtained at the output of the trained neural network, the predicted segmentation mask is displayed to the user. At the training stage, said neural network is trained by means of training coordinates of a click on the training image until the error between the reference segmentation mask and the predicted segmentation mask on the hold-out sampling decreases, wherein the training coordinates of each click are optimized based on the back propagation of the error between the reference segmentation mask and the predicted segmentation mask at fixed weights of the neural network, obtaining the training adversative coordinates of the click; based on the obtained training adversative coordinates of the click, the neural network is trained with cancelled fixation of its weights by backward propagation of the error through the neural network to update its weights. USE - Data processing. ADVANTAGE - Improved quality and high accuracy of reproducing a segmentation mask predicted by a neural network. 7 cl, 7 dwg, 2 tbl |
| IPC 分类号 | G06T-007/12 |
| 国家 | 俄罗斯 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13174 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | SAMSUNG ELECTRONICS CO LTD (SMSU-C) |
| 推荐引用方式 GB/T 7714 | MOSKALENKO A V,SHAKHURO V I,VORONTSOVA A B,et al. Interactive image segmentation on a sequence of user clicks performed by a trained neural network for interactive image segmentation. RU2833268-C1[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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