Segmentation
تجزئة
مهمة تقسيم الصورة إلى مناطق ذات معنى بإسناد تسمية أو قناع لكل بكسل. تشمل أنواعها: التجزئة الدلالية (لكل فئة)، والتجزئة الفورية (لكل جسم)، والتجزئة الشاملة (كلاهما).
The task of partitioning an image into meaningful regions, assigning a label or mask to every pixel. Types include semantic (per-class), instance (per-object), and panoptic (both).
Also translated asالتجزئة البصرية، تقسيم الأسطح اللمسية واللونية، تقسيم الصورة، فرز وفصل الكيانات داخل الصورة
First appears in this corpus in: Maximum Likelihood from Incomplete Data via the EM Algorithm (1977)
Appears in these papers
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- Microsoft COCO: Common Objects in Context2014in the sky ✦
- Maximum Likelihood from Incomplete Data via the EM Algorithm1977in the sky ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- Group Normalization2018in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- ImageNet: A Large-Scale Hierarchical Image Database2009in the sky ✦
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation2017in the sky ✦
- Segment Anything2023in the sky ✦
- On Spectral Clustering: Analysis and an Algorithm2001in the sky ✦