mlsanityData to 7 Oct 2026

Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

arXiv 2104.00308 ↗First posted 1 Apr 2021cs.CV cs.AIcited by 137

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Abstract (arXiv)

Scene graph generation is an important visual understanding task with a broad range of vision applications. Despite recent tremendous progress, it remains challenging due to the intrinsic long-tailed class distribution and large intra-class variation. To address these issues, we introduce a novel confidence-aware bipartite graph neural network with adaptive message propagation mechanism for unbiased scene graph generation. In addition, we propose an efficient bi-level data resampling strategy to alleviate the imbalanced data distribution problem in training our graph network. Our approach achieves superior or competitive performance over previous methods on several challenging datasets, including Visual Genome, Open Images V4/V6, demonstrating its effectiveness and generality.

Key facts. Cited by 137 papers in the map (data through 7 Oct 2026). Builds on 51 of its 63 references that are in the map. First posted on arXiv 1 Apr 2021.

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51 of 63 references.

References · 51

  1. 2017Attention Is All You Needcited by 59,932
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38 more
  1. 2015Gated Graph Sequence Neural Networkscited by 792
  2. 2019Heterogeneous Graph Attention Networkcited by 732
  3. 2019Large-Scale Long-Tailed Recognition in an Open Worldcited by 704
  4. 2018Exploring the Limits of Weakly Supervised Pretrainingcited by 604
  5. 2017Scene Graph Generation by Iterative Message Passingcited by 462
  6. 2017Neural Motifs: Scene Graph Parsing with Global Contextcited by 413
  7. 2019BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognitioncited by 403
  8. 2018Dynamic Few-Shot Visual Learning without Forgettingcited by 385
  9. 2020Unbiased Scene Graph Generation from Biased Trainingcited by 355
  10. 2018Graph R-CNN for Scene Graph Generationcited by 296
  11. 2020Equalization Loss for Long-Tailed Object Recognitioncited by 285
  12. 2018Learning to Compose Dynamic Tree Structures for Visual Contextscited by 258
  13. 2018Auto-Encoding Scene Graphs for Image Captioningcited by 254
  14. 2015Cost Sensitive Learning of Deep Feature Representations from Imbalanced Datacited by 167
  15. 2020GPS-Net: Graph Property Sensing Network for Scene Graph Generationcited by 165
  16. 2019Knowledge-Embedded Routing Network for Scene Graph Generationcited by 163
  17. 2017Scene Graph Generation from Objects, Phrases and Region Captionscited by 154
  18. 2020Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmaxcited by 152
  19. 2016Graph-Structured Representations for Visual Question Answeringcited by 123
  20. 2018Explainable and Explicit Visual Reasoning over Scene Graphscited by 103
  21. 2019Scene Graph Generation with External Knowledge and Image Reconstructioncited by 102
  22. 2017Detecting Visual Relationships with Deep Relational Networkscited by 97
  23. 2018Rethinking Knowledge Graph Propagation for Zero-Shot Learningcited by 87
  24. 2020Bridging Knowledge Graphs to Generate Scene Graphscited by 86
  25. 2018Grid R-CNNcited by 85
  26. 2018Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generationcited by 78
  27. 2020PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generationcited by 75
  28. 2018Attentive Relational Networks for Mapping Images to Scene Graphscited by 72
  29. 2020Learning to Segment the Tailcited by 54
  30. 2020Scene Graph Reasoning for Visual Question Answeringcited by 49
  31. 2020Learning Visual Commonsense for Robust Scene Graph Generationcited by 47
  32. 2018LinkNet: Relational Embedding for Scene Graphcited by 45
  33. 2018Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognitioncited by 41
  34. 2020Graph Density-Aware Losses for Novel Compositions in Scene Graph Generationcited by 31
  35. 2019LatentGNN: Learning Efficient Non-local Relations for Visual Recognitioncited by 25
  36. 2019Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoningcited by 23
  37. 2020Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generationcited by 19
  38. 2020Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Modelscited by 19

50 most cited of 51 All 51 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 34; 2023: 45; 2024: 27; 2025: 13; 2026: 12.

137 papers.

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  1. 2021CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Modelscited by 182
  2. 2021SGTR: End-to-end Scene Graph Generation with Transformercited by 102
  3. 2022RelTR: Relation Transformer for Scene Graph Generationcited by 95
  4. 2022Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generationcited by 67
  5. 2022Relationformer: A Unified Framework for Image-to-Graph Generationcited by 67
  6. 2021Learning of Visual Relations: The Devil is in the Tailscited by 65
  7. 2022The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generationcited by 60
  8. 2022Fine-Grained Scene Graph Generation with Data Transfercited by 57
  9. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  10. 2022Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuningcited by 54
  11. 2024EGTR: Extracting Graph from Transformer for Scene Graph Generationcited by 45
  12. 2021Structured Sparse R-CNN for Direct Scene Graph Generationcited by 44
38 more
  1. 2023RLIPv2: Fast Scaling of Relational Language-Image Pre-trainingcited by 44
  2. 2024From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Modelscited by 43
  3. 2023Panoptic Scene Graph Generation with Semantics-Prototype Learningcited by 42
  4. 2023Unbiased Scene Graph Generation in Videoscited by 38
  5. 2023Prototype-based Embedding Network for Scene Graph Generationcited by 37
  6. 2023Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open Worldcited by 35
  7. 2024STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagerycited by 31
  8. 2023LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generationcited by 30
  9. 2023Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retentioncited by 29
  10. 2022RU-Net: Regularized Unrolling Network for Scene Graph Generationcited by 28
  11. 2022Fine-Grained Predicates Learning for Scene Graph Generationcited by 27
  12. 2022Iterative Scene Graph Generationcited by 24
  13. 2023Devil's on the Edges: Selective Quad Attention for Scene Graph Generationcited by 23
  14. 2022Resistance Training using Prior Bias: toward Unbiased Scene Graph Generationcited by 22
  15. 2022HL-Net: Heterophily Learning Network for Scene Graph Generationcited by 22
  16. 2022Iterative Scene Graph Generation with Generative Transformerscited by 22
  17. 2022Meta Spatio-Temporal Debiasing for Video Scene Graph Generationcited by 20
  18. 2023SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstructioncited by 20
  19. 2022NICEST: Noisy Label Correction and Training for Robust Scene Graph Generationcited by 19
  20. 2023HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generationcited by 19
  21. 2023Vision Relation Transformer for Unbiased Scene Graph Generationcited by 18
  22. 2023Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph predictioncited by 18
  23. 2022Unbiased Directed Object Attention Graph for Object Navigationcited by 17
  24. 2022Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Networkcited by 17
  25. 2023Pair then Relation: Pair-Net for Panoptic Scene Graph Generationcited by 17
  26. 2024Scene Graph Generation with Role-Playing Large Language Modelscited by 16
  27. 2022Hierarchical Memory Learning for Fine-Grained Scene Graph Generationcited by 15
  28. 2023Compositional Feature Augmentation for Unbiased Scene Graph Generationcited by 15
  29. 2023Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detectioncited by 15
  30. 2022Adaptive Fine-Grained Predicates Learning for Scene Graph Generationcited by 14
  31. 2022Label Semantic Knowledge Distillation for Unbiased Scene Graph Generationcited by 14
  32. 2025A Causal Adjustment Module for Debiasing Scene Graph Generationcited by 14
  33. 2023Unified Visual Relationship Detection with Vision and Language Modelscited by 13
  34. 2023VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generationcited by 12
  35. 2024Adaptive Self-training Framework for Fine-grained Scene Graph Generationcited by 11
  36. 2024Can Transformers Capture Spatial Relations between Objects?cited by 11
  37. 2025Universal Scene Graph Generationcited by 11
  38. 2022Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generationcited by 10

50 most cited of 137 All 137 (JSON)