mlsanityData to 14 Oct 2026

Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking

arXiv 1810.08338 ↗First posted 19 Oct 2018cs.CVcited by 21

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Abstract (arXiv)

Multi-person human pose estimation and tracking in the wild is important and challenging. For training a powerful model, large-scale training data are crucial. While there are several datasets for human pose estimation, the best practice for training on multi-dataset has not been investigated. In this paper, we present a simple network called Multi-Domain Pose Network (MDPN) to address this problem. By treating the task as multi-domain learning, our methods can learn a better representation for pose prediction. Together with prediction heads fine-tuning and multi-branch combination, it shows significant improvement over baselines and achieves the best performance on PoseTrack ECCV 2018 Challenge without additional datasets other than MPII and COCO.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Oct 2018.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 3; 2024: 3; 2025: 3.

21 papers.

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  1. 2022AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Timecited by 200
  2. 2021Do Different Tracking Tasks Require Different Appearance Models?cited by 62
  3. 2021Deep Dual Consecutive Network for Human Pose Estimationcited by 51
  4. 2022Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formatscited by 50
  5. 2023DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimationcited by 36
  6. 2022Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimationcited by 24
  7. 20222D Human Pose Estimation: A Surveycited by 21
  8. 2021Learning to Track Instances without Video Annotationscited by 18
  9. 2023Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Videocited by 17
  10. 2021Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Countingcited by 15
  11. 2022OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videoscited by 10
  12. 2024Video-Based Human Pose Regression via Decoupled Space-Time Aggregationcited by 10
9 more
  1. 2021Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Viewscited by 9
  2. 2021Relation-Based Associative Joint Location for Human Pose Estimation in Videoscited by 7
  3. 2024Joint-Motion Mutual Learning for Pose Estimation in Videoscited by 7
  4. 2022Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videoscited by 4
  5. 2025High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimationcited by 4
  6. 2023Improving Multi-Person Pose Tracking with A Confidence Networkcited by 3
  7. 2024Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Countingcited by 1
  8. 2025End-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformercited by 1
  9. 2025An End-to-End Framework for Video Multi-Person Pose Estimationcited by 0