| DC Field | Value | Language |
|---|
| dc.contributor.author | Bobrova, N. L. | - |
| dc.contributor.author | Kharkevich, A. P. | - |
| dc.contributor.author | Stetsko, V. Yu. | - |
| dc.coverage.spatial | Пенза | en_US |
| dc.date.accessioned | 2025-05-16T09:41:59Z | - |
| dc.date.available | 2025-05-16T09:41:59Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Bobrova, N. L. Overview of the OneFormer neural network model applicable to the problem of the instance segmentation in an image / N. L. Bobrova, A. P. Kharkevich, V. Yu. Stetsko // Актуальные вопросы современных научных исследований : сборник статей XVII Международной научно-практической конференции, Пенза, 05 мая 2025 года : в 2 ч. Ч. 1 / отв. ред. Г. Ю. Гуляев. – Пенза : Наука и Просвещение, 2025. – С. 29–32. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/59823 | - |
| dc.description.abstract | This paper reviews the neural network model OneFormer suitable for semantic segmentation, instance segmentation and panoptic segmentation in an image, reviews the architecture of OneFormer model, its key components that ensure the versatility of the model, points out the limitations of the model. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Наука и Просвещение (ИП Гуляев Г. Ю.) | en_US |
| dc.subject | публикации ученых | en_US |
| dc.subject | OneFormer | en_US |
| dc.subject | instance segmentation | en_US |
| dc.subject | semantic segmentation | en_US |
| dc.subject | panoptic segmentation | en_US |
| dc.subject | Qtext | en_US |
| dc.subject | Qtask | en_US |
| dc.title | Overview of the OneFormer neural network model applicable to the problem of the instance segmentation in an image | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Публикации в зарубежных изданиях
|
