mlsanityData to 14 Oct 2026

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

arXiv 1711.06475 ↗First posted 17 Nov 2017cs.CVcited by 73

Not on the map. Why?

Abstract (arXiv)

Significant progress has been achieved in Computer Vision by leveraging large-scale image datasets. However, large-scale datasets for complex Computer Vision tasks beyond classification are still limited. This paper proposed a large-scale dataset named AIC (AI Challenger) with three sub-datasets, human keypoint detection (HKD), large-scale attribute dataset (LAD) and image Chinese captioning (ICC). In this dataset, we annotate class labels (LAD), keypoint coordinate (HKD), bounding box (HKD and LAD), attribute (LAD) and caption (ICC). These rich annotations bridge the semantic gap between low-level images and high-level concepts. The proposed dataset is an effective benchmark to evaluate and improve different computational methods. In addition, for related tasks, others can also use our dataset as a new resource to pre-train their models.

Key facts. Cited by 73 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 11; 2022: 10; 2023: 14; 2024: 15; 2025: 15; 2026: 8.

73 papers.

Sort:

By area:

  1. 2024MiniCPM-V: A GPT-4V Level MLLM on Your Phonecited by 1,079
  2. 2023A Survey on Multimodal Large Language Modelscited by 909
  3. 2022ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationcited by 456
  4. 2023Humans in 4D: Reconstructing and Tracking Humans with Transformerscited by 350
  5. 2024MM-LLMs: Recent Advances in MultiModal Large Language Modelscited by 278
  6. 2023RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosecited by 175
  7. 2023InstructDiffusion: A Generalist Modeling Interface for Vision Taskscited by 164
  8. 2023X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languagescited by 128
  9. 2022Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmarkcited by 114
  10. 2021Towards artificial general intelligence via a multimodal foundation modelcited by 112
  11. 2024TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representationcited by 95
  12. 2021WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Trainingcited by 84
38 more
  1. 2025PromptHMR: Promptable Human Mesh Recoverycited by 76
  2. 2024A Survey of Multimodal Large Language Model from A Data-centric Perspectivecited by 75
  3. 2021Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenescited by 65
  4. 2022ViTPose++: Vision Transformer for Generic Body Pose Estimationcited by 65
  5. 2024CameraHMR: Aligning People with Perspectivecited by 65
  6. 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimationcited by 59
  7. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 50
  8. 2021Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinesecited by 45
  9. 2021ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generationcited by 41
  10. 2021VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wildcited by 39
  11. 2022Pose for Everything: Towards Category-Agnostic Pose Estimationcited by 36
  12. 2023RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimationcited by 34
  13. 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perceptioncited by 33
  14. 2022Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithmscited by 28
  15. 2022One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Codecited by 26
  16. 2024Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videoscited by 26
  17. 2024Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Modelscited by 24
  18. 2024From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalitiescited by 22
  19. 2025Reconstructing Humans with a Biomechanically Accurate Skeletoncited by 22
  20. 20222D Human Pose Estimation: A Surveycited by 21
  21. 2022CCMB: A Large-scale Chinese Cross-modal Benchmarkcited by 21
  22. 2023Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignmentcited by 15
  23. 2025FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Modelcited by 13
  24. 2023UniHuman: A Unified Model for Editing Human Images in the Wildcited by 12
  25. 2021EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modelingcited by 10
  26. 2023You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perceptioncited by 9
  27. 2024CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluationcited by 8
  28. 2024HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understandingcited by 7
  29. 2025Megrez-Omni Technical Reportcited by 7
  30. 2024Referring Human Pose and Mask Estimation in the Wildcited by 6
  31. 2021Towards Zero-shot Cross-lingual Image Retrieval and Taggingcited by 4
  32. 2022Continual Knowledge Distillation for Neural Machine Translationcited by 4
  33. 2023Semi-Supervised Image Captioning by Adversarially Propagating Labeled Datacited by 4
  34. 2023Efficient Vision Transformer for Human Pose Estimation via Patch Selectioncited by 4
  35. 2024PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptionscited by 4
  36. 2025MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Imagescited by 4
  37. 2025Towards Metric-Aware Multi-Person Mesh Recovery by Jointly Optimizing Human Crowd in Camera Spacecited by 3
  38. 2026PEAR: Pixel-aligned Expressive humAn mesh Recoverycited by 3

50 most cited of 73 All 73 (JSON)