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Vizuara on Instagram: "The Detection Transformer (DETR) architecture turns object detection into a simple and elegant pipeline. It uses a convolutional backbone with a transformer encoder and decoder, and can be understood in four parts. Part 1: A ResNet50 or ResNet101 backbone turns the input image into a feature map, which is then flattened into a sequence of grid cell embeddings. These act as tokens carrying local visual details from different parts of the image. Part 2: The transformer encod
Vizuara on Instagram: "The Detection Transformer (DETR) arc…
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