Object detection of vehicles in images using the detr model
Date Issued
2024
Author(s)
Авраменко, С. Є.
Желдак, Т. А.
Abstract
The End-to-End Detection Transformer (DETR) is a novel object detection model
introduced by researchers at Facebook AI Research (FAIR). DETR represents a departure from
traditional object detection methods, which typically rely on region proposal networks (RPNs)
and non-maximum suppression (NMS) for bounding box prediction. Instead, DETR employs a
transformer architecture to perform object detection directly in end-to-end manner.
