In this notebook we show a demo of DETR (Detection Transformer), with slight differences with the baseline model in the paper. We show how to define the model, load pretrained weights and visualize ...

DETR (Detection Transformer) is an end-to-end object detection model that utilizes a transformer architecture. Unlike traditional object detectors, DETR simplifies the detection pipeline and ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

Detection transformer (DETR) has emerged as a highly promising approach in object detection (OD) and has attracted significant interest. However, most DETR-like methods cannot simultaneously leverage ...

Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of remote ...