End-to-End Object Detection with Transformers | VitaVision

PaperECCV 2020 · 2020

End-to-End Object Detection with Transformers

Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko

arXiv 2005.12872 DOI View in graph

1page built on it

2more pages cite it

3narratives

2registry papers cite it

In the Atlas

ModelPrimary source of

End-to-end object detector that recasts detection as direct set prediction — CNN backbone (ResNet-50/101) extracts.

Cited as a reference by 2 pages, grouped by domain

Detection 1

Segmentation 1

Appears in 3 narratives

NarrativeDetection, Removing the Machinery NarrativeSegmentation, from Energy to Prompt NarrativeVision Under a Latency Budget

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Papers in the Atlas registry only · one dot per paper

Built upon by · 2

Builds on · 1

2016Deep Residual Learning for Image RecognitionHe, Zhang et al.

Built upon by · 2

2021Per-Pixel Classification is Not All You Need for Semantic SegmentationCheng, Schwing, Kirillov 2022Masked-attention Mask Transformer for Universal Image SegmentationCheng, Misra et al.