mlsanityData to 7 Oct 2026

RegionGPT: Towards Region Understanding Vision Language Model

arXiv 2403.02330 ↗First posted 4 Mar 2024cs.CVcited by 71

On the map: Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning

Abstract (arXiv)

Vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed regional visual understanding due to limited spatial awareness of the vision encoder, and the use of coarse-grained training data that lacks detailed, region-specific captions. To address this, we introduce RegionGPT (short as RGPT), a novel framework designed for complex region-level captioning and understanding. RGPT enhances the spatial awareness of regional representation with simple yet effective modifications to existing visual encoders in VLMs. We further improve performance on tasks requiring a specific output scope by integrating task-guided instruction prompts during both training and inference phases, while maintaining the model's versatility for general-purpose tasks. Additionally, we develop an automated region caption data generation pipeline, enriching the training set with detailed region-level captions. We demonstrate that a universal RGPT model can be effectively applied and significantly enhancing performance across a range of region-level tasks, including but not limited to complex region descriptions, reasoning, object classification, and referring expressions comprehension.

Key facts. Cited by 71 papers in the map (data through 7 Oct 2026). Placed in VLM benchmarks and visual reasoning, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 54 of its 60 references that are in the map. First posted on arXiv 4 Mar 2024.

Builds on

54 of 60 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Kosmos-2: Grounding Multimodal Large Language Models to the World26 Jun
  2. 2022Flamingo: a Visual Language Model for Few-Shot Learning29 Apr

Other references · 52

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
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38 more
  1. 2017Mask R-CNNcited by 7,259
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  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
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  19. 2023LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attentioncited by 776
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  22. 2021RegionCLIP: Region-based Language-Image Pretrainingcited by 612
  23. 2023LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Modelcited by 602
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  26. 2022GroupViT: Semantic Segmentation Emerges from Text Supervisioncited by 529
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  29. 2023Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Modelscited by 371
  30. 2023PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answeringcited by 333
  31. 2023GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interestcited by 300
  32. 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thoughtcited by 276
  33. 2022DETRs with Collaborative Hybrid Assignments Trainingcited by 273
  34. 2023MultiModal-GPT: A Vision and Language Model for Dialogue with Humanscited by 255
  35. 2023X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languagescited by 127
  36. 2022GRiT: A Generative Region-to-text Transformer for Object Understandingcited by 119
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  38. 2023V3Det: Vast Vocabulary Visual Detection Datasetcited by 81

50 most cited of 52 All 52 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 23; 2025: 28; 2026: 20.

71 papers.

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  1. 2024SpatialRGPT: Grounded Spatial Reasoning in Vision Language Modelscited by 297
  2. 2024VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Taskscited by 136
  3. 2024Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Modelscited by 118
  4. 2025Describe Anything: Detailed Localized Image and Video Captioningcited by 84
  5. 2024VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLMcited by 71
  6. 2024Toward Visual Grounding: A Surveycited by 52
  7. 2024X-VILA: Cross-Modality Alignment for Large Language Modelcited by 46
  8. 2024BadRobot: Jailbreaking Embodied LLM Agents in the Physical Worldcited by 40
  9. 2024MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMscited by 38
  10. 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 37
  11. 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Modelscited by 33
  12. 20253D Aware Region Prompted Vision Language Modelcited by 31
38 more
  1. 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMscited by 30
  2. 2025Vision-Language Models for Edge Networks: A Comprehensive Surveycited by 29
  3. 2024Large Language Model with Region-guided Referring and Grounding for CT Report Generationcited by 27
  4. 2024FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularitycited by 26
  5. 2025Scaling Vision Pre-Training to 4K Resolutioncited by 26
  6. 2024RAP: Retrieval-Augmented Personalization for Multimodal Large Language Modelscited by 24
  7. 2024Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Taskscited by 24
  8. 2024VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Modelscited by 24
  9. 2024Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questionscited by 21
  10. 2025PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularitycited by 21
  11. 2024Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?cited by 20
  12. 2025Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentationcited by 20
  13. 2024AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?cited by 19
  14. 2025Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMscited by 18
  15. 2025Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Markscited by 17
  16. 2025PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Modelcited by 16
  17. 2025Object Detection with Multimodal Large Vision-Language Models: An In-depth Reviewcited by 14
  18. 2024MMRel: Benchmarking Relation Understanding in Multi-Modal Large Language Modelscited by 10
  19. 2025SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Imagescited by 10
  20. 2026SAMTok: Representing Any Mask with Two Wordscited by 10
  21. 2024INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuningcited by 8
  22. 2025AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretationcited by 8
  23. 2025Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generationcited by 6
  24. 2026LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generationcited by 6
  25. 2024SignEye: Traffic Sign Interpretation from Vehicle First-Person Viewcited by 5
  26. 2025Describe Anything Model for Visual Question Answering on Text-rich Imagescited by 5
  27. 20253DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Modelscited by 5
  28. 2024DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolutioncited by 3
  29. 2024Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Modelscited by 3
  30. 2024CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Modelscited by 3
  31. 2025Spatial Preference Rewarding for MLLMs Spatial Understandingcited by 3
  32. 2025Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systemscited by 2
  33. 2025One Patch to Caption Them All: A Unified Zero-Shot Captioning Frameworkcited by 2
  34. 2026LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigationcited by 2
  35. 2025REF-VLM: Triplet-Based Referring Paradigm for Unified Visual Decodingcited by 1
  36. 2025SA-Person: Text-Based Person Retrieval with Scene-aware Re-rankingcited by 1
  37. 2025Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generationcited by 1
  38. 2026IVRA: Improving Visual-Token Relations for Robot Action Policy with Training-Free Hint-Based Guidancecited by 1

50 most cited of 71 All 71 (JSON)

Similar, not cited

Close in wording, no citation either way

  1. 2024Toward Interactive Regional Understanding in Vision-Large Language Models
  2. 2026RegionReasoner: Region-Grounded Multi-Round Visual Reasoning
  3. 2025GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
  4. 2025Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
  5. 2023TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
  6. 2024Locality Alignment Improves Vision-Language Models
  7. 2024Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
  8. 2025RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks