mlsanityData to 14 Oct 2026

Grid R-CNN

arXiv 1811.12030 ↗First posted 29 Nov 2018cs.CVcited by 85

Not on the map. Why?

Abstract (arXiv)

This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection. Different from the traditional regression based methods, the Grid R-CNN captures the spatial information explicitly and enjoys the position sensitive property of fully convolutional architecture. Instead of using only two independent points, we design a multi-point supervision formulation to encode more clues in order to reduce the impact of inaccurate prediction of specific points. To take the full advantage of the correlation of points in a grid, we propose a two-stage information fusion strategy to fuse feature maps of neighbor grid points. The grid guided localization approach is easy to be extended to different state-of-the-art detection frameworks. Grid R-CNN leads to high quality object localization, and experiments demonstrate that it achieves a 4.1% AP gain at IoU=0.8 and a 10.0% AP gain at IoU=0.9 on COCO benchmark compared to Faster R-CNN with Res50 backbone and FPN architecture.

Key facts. Cited by 85 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 22; 2022: 11; 2023: 17; 2024: 18; 2025: 13; 2026: 4.

85 papers.

Sort:

By area:

  1. 2021Conditional DETR for Fast Training Convergencecited by 424
  2. 2021Instances as Queriescited by 158
  3. 2021Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generationcited by 137
  4. 2021QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detectioncited by 70
  5. 2022Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkcited by 56
  6. 2021Localization Distillation for Dense Object Detectioncited by 55
  7. 2022RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detectioncited by 51
  8. 2024SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detectioncited by 48
  9. 2021Disentangle Your Dense Object Detectorcited by 37
  10. 2021A Dataset And Benchmark Of Underwater Object Detection For Robot Pickingcited by 31
  11. 2024HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detectioncited by 22
  12. 2021Dilated convolution with learnable spacingscited by 20
38 more
  1. 2022Localization Distillation for Object Detectioncited by 19
  2. 2021SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Imagescited by 16
  3. 2023Ensemble-based Blackbox Attacks on Dense Predictioncited by 16
  4. 2024HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenescited by 15
  5. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14
  6. 2023Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithmcited by 12
  7. 2023Vision-based Learning for Drones: A Surveycited by 11
  8. 2022Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detectioncited by 10
  9. 2023Unsupervised Domain Adaptive Detection with Network Stability Analysiscited by 10
  10. 2022CenterNet++ for Object Detectioncited by 9
  11. 2023Dual Relation Knowledge Distillation for Object Detectioncited by 9
  12. 2024Visible and Clear: Finding Tiny Objects in Difference Mapcited by 9
  13. 2024Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detectioncited by 9
  14. 2025Visual Instruction Pretraining for Domain-Specific Foundation Modelscited by 9
  15. 2024DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Imagescited by 8
  16. 2024Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Futurecited by 8
  17. 2021Few-Shot Video Object Detectioncited by 7
  18. 2023ClusterFormer: Clustering As A Universal Visual Learnercited by 6
  19. 2024ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Drivingcited by 6
  20. 2021PDNet: Toward Better One-Stage Object Detection With Prediction Decouplingcited by 5
  21. 2021CPPE-5: Medical Personal Protective Equipment Datasetcited by 5
  22. 2022DSLA: Dynamic smooth label assignment for efficient anchor-free object detectioncited by 5
  23. 2023Learning Heavily-Degraded Prior for Underwater Object Detectioncited by 5
  24. 2023MarineDet: Towards Open-Marine Object Detectioncited by 5
  25. 2024Similarity Distance-Based Label Assignment for Tiny Object Detectioncited by 5
  26. 2024SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detectioncited by 5
  27. 2021SCALoss: Side and Corner Aligned Loss for Bounding Box Regressioncited by 4
  28. 2021An Uncertainty Estimation Framework for Probabilistic Object Detectioncited by 4
  29. 2021RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detectioncited by 4
  30. 2021A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localizationcited by 4
  31. 2021A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasetscited by 3
  32. 2022R(Det)^2: Randomized Decision Routing for Object Detectioncited by 3
  33. 2022Unifying Visual Perception by Dispersible Points Learningcited by 3
  34. 2023FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detectioncited by 3
  35. 2021Radio-Assisted Human Detectioncited by 2
  36. 2023Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Imagescited by 2
  37. 2023Enhancing Your Trained DETRs with Box Refinementcited by 2
  38. 2023DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentationcited by 2

50 most cited of 85 All 85 (JSON)