RESEARCH PAPERYear 2023

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Hao Zhang; Feng Li; Shilong Liu; Lei Zhang; Hang Su; Jun Zhu; Lionel M. Ni; Heung-Yeung Shum

Classification

Major category: Related resources
Quadrant: Not applicable
Architecture: Not applicable
Prediction paradigm: Not applicable
Subcategories: Visual encoders & representations
Source review status: Verified from primary sources

Category review. This record is the DETR-family DINO object detector (arXiv:2203.03605), whose supervised anchor-query architecture predicts boxes and classes. It belongs in Related resources as a detection method; it is not the self-supervised DINO representation encoder intended by the manuscript component list. Distinct intended encoder paper: Emerging Properties in Self-Supervised Vision Transformers (DINO), arXiv:2104.14294; requires separate primary-source verification/import, not title substitution. Reading evidence

AT A GLANCE

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BibTeX

@inproceedings{dino,
  author       = {Hao Zhang and
                  Feng Li and
                  Shilong Liu and
                  Lei Zhang and
                  Hang Su and
                  Jun Zhu and
                  Lionel M. Ni and
                  Heung{-}Yeung Shum},
  title        = {{DINO:} {DETR} with Improved DeNoising Anchor Boxes for End-to-End
                  Object Detection},
  booktitle    = {ICLR},
  year         = {2023},
 
}

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BibTeX

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