mlsanityData to 7 Oct 2026

Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation

arXiv 2103.11731 ↗First posted 22 Mar 2021cs.CV cs.AIcited by 44

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Abstract (arXiv)

Few-shot object detection has been extensively investigated by incorporating meta-learning into region-based detection frameworks. Despite its success, the said paradigm is constrained by several factors, such as (i) low-quality region proposals for novel classes and (ii) negligence of the inter-class correlation among different classes. Such limitations hinder the generalization of base-class knowledge for the detection of novel-class objects. In this work, we design Meta-DETR, a novel few-shot detection framework that incorporates correlational aggregation for meta-learning into DETR detection frameworks. Meta-DETR works entirely at image level without any region proposals, which circumvents the constraint of inaccurate proposals in prevalent few-shot detection frameworks. Besides, Meta-DETR can simultaneously attend to multiple support classes within a single feed-forward. This unique design allows capturing the inter-class correlation among different classes, which significantly reduces the misclassification of similar classes and enhances knowledge generalization to novel classes. Experiments over multiple few-shot object detection benchmarks show that the proposed Meta-DETR outperforms state-of-the-art methods by large margins. The implementation codes will be released at https://github.com/ZhangGongjie/Meta-DETR.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). Builds on 28 of its 37 references that are in the map. First posted on arXiv 22 Mar 2021.

Builds on

28 of 37 references.

References · 28

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  5. 2020End-to-End Object Detection with Transformerscited by 7,384
  6. 2017Mask R-CNNcited by 7,259
  7. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,410
  8. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  9. 2016YOLO9000: Better, Faster, Strongercited by 1,429
  10. 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,361
  11. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  12. 2019A Closer Look at Few-shot Classificationcited by 679
16 more
  1. 2018Deep Learning for Generic Object Detection: A Surveycited by 392
  2. 2017Relation Networks for Object Detectioncited by 305
  3. 2020Frustratingly Simple Few-Shot Object Detectioncited by 280
  4. 2018Few-shot Object Detection via Feature Reweightingcited by 265
  5. 2019Few-Shot Object Detection with Attention-RPN and Multi-Relation Detectorcited by 206
  6. 2019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learningcited by 182
  7. 2021FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingcited by 168
  8. 2020Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wildcited by 142
  9. 2017Single-Shot Refinement Neural Network for Object Detectioncited by 129
  10. 2020Multi-Scale Positive Sample Refinement for Few-Shot Object Detectioncited by 116
  11. 2020Incremental Few-Shot Object Detectioncited by 102
  12. 2021Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detectioncited by 80
  13. 2021Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detectioncited by 79
  14. 2018LSTD: A Low-Shot Transfer Detector for Object Detectioncited by 77
  15. 2019CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagerycited by 43
  16. 2020Cooperating RPN's Improve Few-Shot Object Detectioncited by 12

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Citing papers per year: 2021: 9; 2022: 22; 2023: 7; 2024: 4; 2025: 2.

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  1. 2022A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunitiescited by 162
  2. 2021Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspectioncited by 77
  3. 2021DETReg: Unsupervised Pretraining with Region Priors for Object Detectioncited by 76
  4. 2021PTTR: Relational 3D Point Cloud Object Tracking with Transformercited by 65
  5. 2022Accelerating DETR Convergence via Semantic-Aligned Matchingcited by 58
  6. 2022Few-shot Object Counting and Detectioncited by 55
  7. 2022Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitationcited by 48
  8. 2021A Survey of Self-Supervised and Few-Shot Object Detectioncited by 35
  9. 2022Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localizationcited by 24
  10. 2022Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detectioncited by 23
  11. 2022iFS-RCNN: An Incremental Few-shot Instance Segmentercited by 19
  12. 2022Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learningcited by 14
32 more
  1. 2023Face Transformer: Towards High Fidelity and Accurate Face Swappingcited by 11
  2. 2021A Comparative Review of Recent Few-Shot Object Detection Algorithmscited by 10
  3. 2022Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectorscited by 10
  4. 2023NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forgingcited by 10
  5. 2021Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Netcited by 9
  6. 2022Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detectioncited by 9
  7. 2022Hierarchical Few-Shot Object Detection: Problem, Benchmark and Methodcited by 8
  8. 2022Towards Generalized Few-Shot Open-Set Object Detectioncited by 8
  9. 2022Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusioncited by 7
  10. 2021Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classificationcited by 6
  11. 2022TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detectioncited by 6
  12. 2022Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learningcited by 6
  13. 2022Blind Users Accessing Their Training Images in Teachable Object Recognizerscited by 6
  14. 2025Multi-Perspective Data Augmentation for Few-shot Object Detectioncited by 6
  15. 2023The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentationcited by 5
  16. 2025CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusioncited by 4
  17. 2022Multi-Modal Few-Shot Temporal Action Detectioncited by 3
  18. 2023Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regimecited by 3
  19. 2023Few-Shot Object Detection via Synthetic Features with Optimal Transportcited by 3
  20. 2021FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Compositioncited by 2
  21. 2021Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detectioncited by 2
  22. 2022A Unified Framework for Attention-Based Few-Shot Object Detectioncited by 1
  23. 2022Towards Discriminative and Transferable One-Stage Few-Shot Object Detectorscited by 1
  24. 2022A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Imagescited by 1
  25. 2024SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancementcited by 1
  26. 2022ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformerscited by 0
  27. 2022Fast Hierarchical Learning for Few-Shot Object Detectioncited by 0
  28. 2023High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusioncited by 0
  29. 2023Re-Scoring Using Image-Language Similarity for Few-Shot Object Detectioncited by 0
  30. 2024Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detectioncited by 0
  31. 2024Deployment Prior Injection for Run-time Calibratable Object Detectioncited by 0
  32. 2024InfRS: Incremental Few-Shot Object Detection in Remote Sensing Imagescited by 0