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Papers › I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation

I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation

22 Jun 2022arXiv:2206.10892archive 2025-07-28

Yiwei Ding, Wenjin Deng, Yinglin Zheng, PengFei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng

In this paper, we present the Intra- and Inter-Human Relation Networks (I^2R-Net) for Multi-Person Pose Estimation. It involves two basic modules. First, the Intra-Human Relation Module operates on a single person and aims to capture Intra-Human dependencies. Second, the Inter-Human Relation Module considers the relation between multiple instances and focuses on capturing Inter-Human interactions. The Inter-Human Relation Module can be designed very lightweight by reducing the resolution of feature map, yet learn useful relation information to significantly boost the performance of the Intra-Human Relation Module. Even without bells and whistles, our method can compete or outperform current competition winners. We conduct extensive experiments on COCO, CrowdPose, and OCHuman datasets. The results demonstrate that the proposed model surpasses all the state-of-the-art methods. Concretely, the proposed method achieves 77.4% AP on CrowPose dataset and 67.8% AP on OCHuman dataset respectively, outperforming existing methods by a large margin. Additionally, the ablation study and visualization analysis also prove the effectiveness of our model.

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Code

leijue222/Intra-and-Inter-Human-Relation-Network-for-MPEE officialmentioned on GitHubpytorch report

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Tasks

Multi-Person Pose EstimationPose EstimationRelation Network

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Multi-Person Pose Estimation CrowdPose I²R-Net (1st stage: HRFormer-B) AP Easy 83.8 #3 of 28 Archive leaderboard report
Multi-Person Pose Estimation CrowdPose I²R-Net (1st stage: HRFormer-B) AP Hard 69.3 #3 of 28 Archive leaderboard report
Multi-Person Pose Estimation CrowdPose I²R-Net (1st stage: HRFormer-B) AP Medium 78.1 #3 of 28 Archive leaderboard report
Multi-Person Pose Estimation CrowdPose I²R-Net (1st stage: HRFormer-B) mAP @0.5:0.95 77.4 #3 of 28 Archive leaderboard report
Multi-Person Pose Estimation OCHuman I²R-Net (1st stage:TransPose-H) AP50 85 #2 of 8 Archive leaderboard report
Multi-Person Pose Estimation OCHuman I²R-Net (1st stage:TransPose-H) AP75 72.8 #2 of 8 Archive leaderboard report
Multi-Person Pose Estimation OCHuman I²R-Net (1st stage:TransPose-H) Validation AP 67.8 #2 of 8 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) AP 77.3 #6 of 10 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) AP50 91 #6 of 10 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) AP75 83.6 #6 of 10 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) APL 84.5 #6 of 10 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) APM 73 #6 of 10 Archive leaderboard report
Pose Estimation COCO (Common Objects in Context) I²R-Net (1st stage:HRFormer-B) AR 82.1 #6 of 10 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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