mlsanityData to 14 Oct 2026

Mask R-CNN

arXiv 1703.06870 ↗First posted 20 Mar 2017cs.CVcited by 7,277

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Cited by 153 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition. Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework. We show top results in all three tracks of the COCO suite of challenges, including instance segmentation, bounding-box object detection, and person keypoint detection. Without bells and whistles, Mask R-CNN outperforms all existing, single-model entries on every task, including the COCO 2016 challenge winners. We hope our simple and effective approach will serve as a solid baseline and help ease future research in instance-level recognition. Code has been made available at: https://github.com/facebookresearch/Detectron

Key facts. Cited by 7,277 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 Mar 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2018: 1; 2019: 1; 2020: 0; 2021: 1573; 2022: 1603; 2023: 1551; 2024: 1182; 2025: 902; 2026: 464.

7,277 papers.

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  1. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  2. 2023Segment Anythingcited by 8,234
  3. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,403
  4. 2022A ConvNet for the 2020scited by 3,579
  5. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  6. 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,351
  7. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,962
  8. 2021Barlow Twins: Self-Supervised Learning via Redundancy Reductioncited by 1,838
  9. 2021Ego4D: Around the World in 3,000 Hours of Egocentric Videocited by 1,556
  10. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  11. 2022ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoningcited by 1,479
  12. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,319
38 more
  1. 2021ViLT: Vision-and-Language Transformer Without Convolution or Region Supervisioncited by 1,230
  2. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,228
  3. 2021Grounded Language-Image Pre-trainingcited by 1,156
  4. 2021SimMIM: A Simple Framework for Masked Image Modelingcited by 1,153
  5. 2021Per-Pixel Classification is Not All You Need for Semantic Segmentationcited by 1,152
  6. 2021VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learningcited by 1,057
  7. 2021Transformers in Vision: A Surveycited by 1,013
  8. 2024VMamba: Visual State Space Modelcited by 969
  9. 2021Open-vocabulary Object Detection via Vision and Language Knowledge Distillationcited by 906
  10. 2021iBOT: Image BERT Pre-Training with Online Tokenizercited by 903
  11. 2021Multiscale Vision Transformerscited by 897
  12. 2022BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representationcited by 850
  13. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  14. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 781
  15. 2023LISA: Reasoning Segmentation via Large Language Modelcited by 776
  16. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  17. 2021PVT v2: Improved Baselines with Pyramid Vision Transformercited by 751
  18. 2022Exploring Plain Vision Transformer Backbones for Object Detectioncited by 724
  19. 2021BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-Viewcited by 713
  20. 2023ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoderscited by 712
  21. 2024SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilitiescited by 706
  22. 2023EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understandingcited by 680
  23. 2021DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queriescited by 658
  24. 2021Perceiver IO: A General Architecture for Structured Inputs & Outputscited by 629
  25. 2021CLIPort: What and Where Pathways for Robotic Manipulationcited by 622
  26. 2021RegionCLIP: Region-based Language-Image Pretrainingcited by 616
  27. 2022Detecting Twenty-thousand Classes using Image-level Supervisioncited by 614
  28. 2021Masked Feature Prediction for Self-Supervised Visual Pre-Trainingcited by 576
  29. 2021KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3Dcited by 575
  30. 2021Twins: Revisiting the Design of Spatial Attention in Vision Transformerscited by 565
  31. 2022Vision Transformer Adapter for Dense Predictionscited by 565
  32. 2022Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulationcited by 551
  33. 2023Segment Everything Everywhere All at Oncecited by 548
  34. 2021DenseCLIP: Language-Guided Dense Prediction with Context-Aware Promptingcited by 532
  35. 2021CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windowscited by 527
  36. 2021MetaFormer Is Actually What You Need for Visioncited by 524
  37. 2021MViTv2: Improved Multiscale Vision Transformers for Classification and Detectioncited by 519
  38. 2021TrackFormer: Multi-Object Tracking with Transformerscited by 518

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