Use HF papers (#38184)
* Use hf papers * Hugging Face papers * doi to hf papers * style
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## Overview
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The DETR model was proposed in [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by
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The DETR model was proposed in [End-to-End Object Detection with Transformers](https://huggingface.co/papers/2005.12872) by
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Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov and Sergey Zagoruyko. DETR
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consists of a convolutional backbone followed by an encoder-decoder Transformer which can be trained end-to-end for
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object detection. It greatly simplifies a lot of the complexity of models like Faster-R-CNN and Mask-R-CNN, which use
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