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DETR (Detection Transformer) is a deep learning architecture first proposed as a new approach to object detection. It's the first object detection framework to successfully integrate transformers as a central building block in the detection pipeline. DETR completely changes the architecture compared with previous object detection systems. In this article, we delve into the concept of Detection Transformer (DETR), a groundbreaking approach to object detection.
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