mlsanityData to 7 Oct 2026

Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining

arXiv 2211.03594 ↗First posted 7 Nov 2022cs.CVcited by 25

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Abstract (arXiv)

We present a strong object detector with encoder-decoder pretraining and finetuning. Our method, called Group DETR v2, is built upon a vision transformer encoder ViT-Huge~citedosovitskiy2020image, a DETR variant DINO~citezhang2022dino, and an efficient DETR training method Group DETR~citechen2022group. The training process consists of self-supervised pretraining and finetuning a ViT-Huge encoder on ImageNet-1K, pretraining the detector on Object365, and finally finetuning it on COCO. Group DETR v2 achieves 64.5 mAP on COCO test-dev, and establishes a new SoTA on the COCO leaderboard https://paperswithcode.com/sota/object-detection-on-coco

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). Builds on 26 of its 31 references that are in the map. First posted on arXiv 7 Nov 2022.

Builds on

26 of 31 references.

References · 26

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2020End-to-End Object Detection with Transformerscited by 7,384
  5. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,339
  6. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,410
  7. 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,360
  8. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,306
  9. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,215
  10. 2021SimMIM: A Simple Framework for Masked Image Modelingcited by 1,147
  11. 2021Grounded Language-Image Pre-trainingcited by 1,147
  12. 2021Scaling Vision Transformerscited by 993
14 more
  1. 2022Exploring Plain Vision Transformer Backbones for Object Detectioncited by 723
  2. 2021ImageNet-21K Pretraining for the Massescited by 607
  3. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 569
  4. 2022Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Taskscited by 510
  5. 2022DN-DETR: Accelerate DETR Training by Introducing Query DeNoisingcited by 486
  6. 2021Conditional DETR for Fast Training Convergencecited by 422
  7. 2021End-to-End Semi-Supervised Object Detection with Soft Teachercited by 315
  8. 2022BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizerscited by 298
  9. 2022Context Autoencoder for Self-Supervised Representation Learningcited by 297
  10. 2022GLIPv2: Unifying Localization and Vision-Language Understandingcited by 275
  11. 2022Focal Modulation Networkscited by 186
  12. 2021Dynamic Head: Unifying Object Detection Heads with Attentionscited by 185
  13. 2022Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignmentcited by 96
  14. 2022Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillationcited by 93

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 16; 2024: 4; 2025: 0; 2026: 1.

25 papers.

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  1. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 685
  2. 2023DETRs Beat YOLOs on Real-time Object Detectioncited by 526
  3. 2023EVA-02: A Visual Representation for Neon Genesiscited by 377
  4. 2022DETRs with Collaborative Hybrid Assignments Trainingcited by 273
  5. 2024D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinementcited by 73
  6. 2023Cross Modal Transformer: Towards Fast and Robust 3D Object Detectioncited by 68
  7. 2024LW-DETR: A Transformer Replacement to YOLO for Real-Time Detectioncited by 36
  8. 2024MS-DETR: Efficient DETR Training with Mixed Supervisioncited by 34
  9. 2022Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Informationcited by 31
  10. 2023Uni3DETR: Unified 3D Detection Transformercited by 26
  11. 2023Uncovering and Quantifying Social Biases in Code Generationcited by 25
  12. 2023Interactive Segment Anything NeRF with Feature Imitationcited by 24
13 more
  1. 2022D3ETR: Decoder Distillation for Detection Transformercited by 17
  2. 2023Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Artcited by 15
  3. 2023S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representationscited by 12
  4. 2023A Strong and Reproducible Object Detector with Only Public Datasetscited by 8
  5. 2023detrex: Benchmarking Detection Transformerscited by 8
  6. 2023Language-aware Multiple Datasets Detection Pretraining for DETRscited by 5
  7. 2023Uncovering and Categorizing Social Biases in Text-to-SQLcited by 5
  8. 2023Revisiting DETR Pre-training for Object Detectioncited by 5
  9. 2023DETR Doesn't Need Multi-Scale or Locality Designcited by 4
  10. 2023Real-time 3D Semantic Scene Completion Via Feature Aggregation and Conditioned Predictioncited by 3
  11. 2023Enhancing Your Trained DETRs with Box Refinementcited by 2
  12. 2026Don't let the information slip awaycited by 2
  13. 2024PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slicescited by 1