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

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Toru Tamaki
Toru Tamaki

Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum, "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection" arXiv2022 https://arxiv.org/abs/2203.03605

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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 arXiv2022 2023/6/8
◼DETR [Carion+, ECCV2020] DINO • DETR with Improved deNoising anchOr boxes • Transformer End-to-End
◼ • HTC [Chen+, IEEE2019] Dyhead [Dai+, IEEE2021] • DETR End-to-End ◼ • • DETR
◼Deformable DETR [Zhu+, ICLR2021] • deformable attention ◼Efficient DETR [Yao+, arXiv2021] • K ◼DAB-DETR [Liu+, arXiv2022] • 2 4 ◼DN-DETR [Li+, arXiv2022] •
◼ • • •
Contrastive DeNoising Training ◼ 2 ◼ ◼ 𝜆1 𝜆2 (𝜆1 < 𝜆2) • 𝜆1 • bounding box • 𝜆1 𝜆2 • ◼ •
Mixed Query Selection ◼ 2 ◼positional queries • ◼content queries • ◼ • Static Queries • DETR, DN-DETR • • Pure Query Selection • Deformable DETR • positional queries content queries
Mixed Query Selection ◼ • Mixed Query Aelection • positional queries • top-k • content queries •
Look Forward Twice ◼ • (Detach) (a) • ◼DINO (i+1) (b) • box
◼ • COCO 2017 ◼ • Average Precision (AP) • IoU ◼ • ResNet-50 He+, CVPR2016 • ImageNet-1k [Deng+, CVPR2009] • COCO • SwinL [Liu+, ICCV2021] • ImageNet-22k 9 • Object365 [33] • COCO
ResNet-50 ◼ 4 5 ◼ • • • •
ResNet-50 ◼ ◼ •
SOTA ◼SwinL ◼ • DETR •
Ablation Study ◼3 ◼
◼3 DINO • • • ◼

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