Two-Stage Detector
كاشف ثنائي المرحلة
بنية رصد أجسام تعمل على مرحلتين: الأولى تقترح مناطق قد تحتوي أجسامًا، والثانية تصنّف كل منطقة وتنقّح مربع إحاطتها. أبرز مثال: عائلة R-CNN.
An object detection architecture that operates in two stages: the first proposes regions likely to contain objects, and the second classifies each region and refines its bounding box. The R-CNN family is the canonical example.
Also translated asمُكتشف ذو مرحلتين، الكشف ثنائي المرحلة
First appears in this corpus in: Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation (2014)
Appears in these papers
- End-to-End Object Detection with Transformers2020in the sky ✦
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks2015in the sky ✦
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014in the sky ✦
- Focal Loss for Dense Object Detection2017in the sky ✦
- SSD: Single Shot MultiBox Detector2016in the sky ✦
- YOLOv3: An Incremental Improvement2018in the sky ✦