mlsanityData to 14 Oct 2026

Vision-Based Human Pose Estimation via Deep Learning: A Survey

arXiv 2308.13872 ↗First posted 26 Aug 2023cs.CVcited by 20

Not on the map. Why?

Abstract (arXiv)

Human pose estimation (HPE) has attracted a significant amount of attention from the computer vision community in the past decades. Moreover, HPE has been applied to various domains, such as human-computer interaction, sports analysis, and human tracking via images and videos. Recently, deep learning-based approaches have shown state-of-the-art performance in HPE-based applications. Although deep learning-based approaches have achieved remarkable performance in HPE, a comprehensive review of deep learning-based HPE methods remains lacking in the literature. In this article, we provide an up-to-date and in-depth overview of the deep learning approaches in vision-based HPE. We summarize these methods of 2-D and 3-D HPE, and their applications, discuss the challenges and the research trends through bibliometrics, and provide insightful recommendations for future research. This article provides a meaningful overview as introductory material for beginners to deep learning-based HPE, as well as supplementary material for advanced researchers.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 98 of its 155 references that are in the map. First posted on arXiv 26 Aug 2023.

Builds on

98 of 155 references.

References · 98

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2017Mask R-CNNcited by 7,277
  4. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  5. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  6. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 915
  7. 2018Deep Ordinal Regression Network for Monocular Depth Estimationcited by 723
  8. 2019MediaPipe: A Framework for Building Perception Pipelinescited by 583
  9. 2019NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understandingcited by 533
  10. 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
  11. 2016Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervisioncited by 494
  12. 2022ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationcited by 456
38 more
  1. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 403
  2. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  3. 2020Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognitioncited by 343
  4. 2017Cascaded Pyramid Network for Multi-Person Pose Estimationcited by 341
  5. 2016RMPE: Regional Multi-person Pose Estimationcited by 340
  6. 2016Convolutional Pose Machinescited by 325
  7. 2013DeepPose: Human Pose Estimation via Deep Neural Networkscited by 305
  8. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 272
  9. 2021Revisiting Skeleton-based Action Recognitioncited by 257
  10. 2017Integral Human Pose Regressioncited by 256
  11. 2019HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimationcited by 247
  12. 2016Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posecited by 221
  13. 2018CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmarkcited by 214
  14. 2016Associative Embedding: End-to-End Learning for Joint Detection and Groupingcited by 212
  15. 2020Deep Learning-Based Human Pose Estimation: A Surveycited by 207
  16. 2019Semantic Graph Convolutional Networks for 3D Human Pose Regressioncited by 204
  17. 2017Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBcited by 195
  18. 2016Panoptic Studio: A Massively Multiview System for Social Interaction Capturecited by 173
  19. 2017PoseTrack: A Benchmark for Human Pose Estimation and Trackingcited by 173
  20. 2019Distribution-Aware Coordinate Representation for Human Pose Estimationcited by 165
  21. 2019Learnable Triangulation of Human Posecited by 161
  22. 2017Towards Accurate Multi-person Pose Estimation in the Wildcited by 131
  23. 2021Human Pose Regression with Residual Log-likelihood Estimationcited by 131
  24. 2014Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimationcited by 129
  25. 2017VNect: Real-time 3D Human Pose Estimation with a Single RGB Cameracited by 129
  26. 2020TransPose: Keypoint Localization via Transformercited by 126
  27. 2020Epipolar Transformerscited by 117
  28. 20163D Human Pose Estimation = 2D Pose Estimation + Matchingcited by 113
  29. 2020BlazePose: On-device Real-time Body Pose trackingcited by 113
  30. 2018Pose2Seg: Detection Free Human Instance Segmentationcited by 107
  31. 20182D/3D Pose Estimation and Action Recognition using Multitask Deep Learningcited by 103
  32. 2021Pose Recognition with Cascade Transformerscited by 99
  33. 2016DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Modelcited by 96
  34. 2021Lite-HRNet: A Lightweight High-Resolution Networkcited by 91
  35. 2019Cross View Fusion for 3D Human Pose Estimationcited by 90
  36. 2021PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimationcited by 89
  37. 2018LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Imagescited by 88
  38. 2021Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flowscited by 85

50 most cited of 98 All 98 (JSON)

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 7; 2025: 8; 2026: 2.

20 papers.

Sort:

By area:

  1. 2024Markerless Multi-view 3D Human Pose Estimation: a surveycited by 9
  2. 2025Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detectioncited by 7
  3. 2025Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Modelscited by 5
  4. 2024DIR-BHRNet: A Lightweight Network for Real-time Vision-based Multi-person Pose Estimation on Smartphonescited by 4
  5. 2023Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenariocited by 2
  6. 2025Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmapscited by 2
  7. 2023Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Surveycited by 1
  8. 2024Automatic parking planning control method based on improved A* algorithmcited by 1
  9. 2025ML-SceGen: A Multi-level Scenario Generation Frameworkcited by 1
  10. 2023Real-time pedestrian recognition on low computational resourcescited by 0
  11. 2024Acceleration method for generating perception failure scenarios based on editing Markov processcited by 0
  12. 2024Deep Reinforcement Learning for Adverse Garage Scenario Generationcited by 0
8 more
  1. 2024Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lotscited by 0
  2. 2024Development of Occupancy Prediction Algorithm for Underground Parking Lotscited by 0
  3. 2025Manboformer: Learning Gaussian Representations via Spatial-temporal Attention Mechanismcited by 0
  4. 2025Artificial Behavior Intelligence: Technology, Challenges, and Future Directionscited by 0
  5. 2025Data Shift of Object Detection in Autonomous Drivingcited by 0
  6. 20253D Human Pose and Shape Estimation from LiDAR Point Clouds: A Reviewcited by 0
  7. 2026Multi-Person Pose Estimation Evaluation Using Optimal Transportation and Improved Pose Matchingcited by 0
  8. 2026NCSTR: Node-Centric Decoupled Spatio-Temporal Reasoning for Video-based Human Pose Estimationcited by 0