mlsanityData to 7 Oct 2026

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

arXiv 2203.03605 ↗First posted 7 Mar 2022cs.CVcited by 1,306

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Cited by 66 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present DINO (DETR with Improved deNoising anchOr boxes), a state-of-the-art end-to-end object detector. % in this paper. DINO improves over previous DETR-like models in performance and efficiency by using a contrastive way for denoising training, a mixed query selection method for anchor initialization, and a look forward twice scheme for box prediction. DINO achieves 49.4AP in 12 epochs and 51.3AP in 24 epochs on COCO with a ResNet-50 backbone and multi-scale features, yielding a significant improvement of +6.0AP and +2.7AP, respectively, compared to DN-DETR, the previous best DETR-like model. DINO scales well in both model size and data size. Without bells and whistles, after pre-training on the Objects365 dataset with a SwinL backbone, DINO obtains the best results on both COCO textttval2017 (63.2AP) and texttttest-dev (textbf63.3AP). Compared to other models on the leaderboard, DINO significantly reduces its model size and pre-training data size while achieving better results. Our code will be available at urlhttps://github.com/IDEACVR/DINO.

Key facts. Cited by 1,306 papers in the map (data through 7 Oct 2026). Builds on 34 of its 44 references that are in the map. First posted on arXiv 7 Mar 2022.

Builds on

34 of 44 references.

References · 34

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  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  4. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
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  6. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  7. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  8. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  9. 2020End-to-End Object Detection with Transformerscited by 7,384
  10. 2017Mask R-CNNcited by 7,259
  11. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,410
  12. 2018YOLOv3: An Incremental Improvementcited by 2,652
22 more
  1. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
  2. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,573
  3. 2016YOLO9000: Better, Faster, Strongercited by 1,429
  4. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,379
  5. 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,361
  6. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,215
  7. 2021Grounded Language-Image Pre-trainingcited by 1,147
  8. 2017Mixed Precision Trainingcited by 1,135
  9. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,064
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  13. 2017Focal Loss for Dense Object Detectioncited by 749
  14. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 569
  15. 2022DN-DETR: Accelerate DETR Training by Introducing Query DeNoisingcited by 486
  16. 2019Hybrid Task Cascade for Instance Segmentationcited by 479
  17. 2021Conditional DETR for Fast Training Convergencecited by 422
  18. 2021End-to-End Semi-Supervised Object Detection with Soft Teachercited by 315
  19. 2021Dynamic Head: Unifying Object Detection Heads with Attentionscited by 185
  20. 2021Fast Convergence of DETR with Spatially Modulated Co-Attentioncited by 176
  21. 2020Rethinking Transformer-based Set Prediction for Object Detectioncited by 156
  22. 2021Efficient DETR: Improving End-to-End Object Detector with Dense Priorcited by 128

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 65; 2023: 242; 2024: 363; 2025: 365; 2026: 271.

1,306 papers.

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  1. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
  2. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 978
  3. 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Taskscited by 914
  4. 2023A Survey on Multimodal Large Language Modelscited by 898
  5. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 685
  6. 2023DETRs Beat YOLOs on Real-time Object Detectioncited by 526
  7. 2022Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Taskscited by 510
  8. 2024YOLOv10: Real-Time End-to-End Object Detectioncited by 508
  9. 2024YOLO-World: Real-Time Open-Vocabulary Object Detectioncited by 498
  10. 2022InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutionscited by 479
  11. 2023Florence-2: Advancing a Unified Representation for a Variety of Vision Taskscited by 403
  12. 2022Point Transformer V2: Grouped Vector Attention and Partition-based Poolingcited by 384
38 more
  1. 2023EVA-02: A Visual Representation for Neon Genesiscited by 377
  2. 2023Segment Anything in High Qualitycited by 373
  3. 2022DiffusionDet: Diffusion Model for Object Detectioncited by 354
  4. 2022Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentationcited by 341
  5. 2025Perception Encoder: The best visual embeddings are not at the output of the networkcited by 315
  6. 2023Recognize Anything: A Strong Image Tagging Modelcited by 305
  7. 2023GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interestcited by 300
  8. 2024An Image is Worth 32 Tokens for Reconstruction and Generationcited by 295
  9. 2024MM-LLMs: Recent Advances in MultiModal Large Language Modelscited by 277
  10. 2022DETRs with Collaborative Hybrid Assignments Trainingcited by 273
  11. 2022Motion Transformer with Global Intention Localization and Local Movement Refinementcited by 267
  12. 2023Multimodal Foundation Models: From Specialists to General-Purpose Assistantscited by 247
  13. 2024Rotary Position Embedding for Vision Transformercited by 226
  14. 2024Diffusion Model-Based Image Editing: A Surveycited by 212
  15. 2023A Simple Framework for Open-Vocabulary Segmentation and Detectioncited by 197
  16. 2023Segment and Track Anythingcited by 193
  17. 2023MapTRv2: An End-to-End Framework for Online Vectorized HD Map Constructioncited by 192
  18. 2023Universal Instance Perception as Object Discovery and Retrievalcited by 190
  19. 2022Focal Modulation Networkscited by 186
  20. 2023Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Drivingcited by 168
  21. 2022DETRs with Hybrid Matchingcited by 149
  22. 2023SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videoscited by 149
  23. 2023DDP: Diffusion Model for Dense Visual Predictioncited by 148
  24. 2023MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Queryingcited by 139
  25. 2024The Revolution of Multimodal Large Language Models: A Surveycited by 134
  26. 2023Transformer-Based Visual Segmentation: A Surveycited by 124
  27. 2022Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipecited by 122
  28. 2024Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detectioncited by 122
  29. 2022GRiT: A Generative Region-to-text Transformer for Object Understandingcited by 119
  30. 2024Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Modelscited by 118
  31. 2022Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learningcited by 115
  32. 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editingcited by 114
  33. 2023LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Modelscited by 113
  34. 2024Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyondcited by 111
  35. 2025Sonata: Self-Supervised Learning of Reliable Point Representationscited by 108
  36. 2022HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutionscited by 103
  37. 2023Contextual Object Detection with Multimodal Large Language Modelscited by 100
  38. 2022CenterFormer: Center-based Transformer for 3D Object Detectioncited by 99

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