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Publications in Math-Net.Ru |
Citations |
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2025 |
| 1. |
I. V. Vinokurov, D. A. Frolova, A. I. Ilyin, I. R. Kuznetsov, “Comparative analysis of backbone architectures for instance segmentation of objects in aerial imagery using Mask R-CNN”, Program Systems: Theory and Applications, 16:4 (2025), 173–216  |
| 2. |
I. V. Vinokurov, “Improving the accuracy of segmentation masks using a generative-adversarial network model”, Program Systems: Theory and Applications, 16:2 (2025), 111–152 |
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| 3. |
I. V. Vinokurov, “Using the Mask R-CNN model for segmentation of real estate objects in aerial photographs”, Program Systems: Theory and Applications, 16:1 (2025), 3–44 |
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2024 |
| 4. |
I. V. Vinokurov, “Recovering text sequences using deep learning models”, Program Systems: Theory and Applications, 15:3 (2024), 75–110 |
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I. V. Vinokurov, “Recognition of cadastral coordinates using
convolutional recurrent neural networks”, Program Systems: Theory and Applications, 15:1 (2024), 3–30 |
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2023 |
| 6. |
I. V. Vinokurov, “Recognition of digital sequences using convolutional
neural networks”, Program Systems: Theory and Applications, 14:3 (2023), 3–36 |
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I. V. Vinokurov, “Tabular information recognition using convolutional neural networks”, Program Systems: Theory and Applications, 14:1 (2023), 3–30 |
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2022 |
| 8. |
I. V. Vinokurov, “Using a convolutional neural network to recognize text elements in poor quality scanned images”, Program Systems: Theory and Applications, 13:3 (2022), 29–43 ; Program Systems: Theory and Applications, 13:3 (2022), 45–59 |
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