InterNet (ECCV'2020)
```bibtex
@InProceedings{Moon_2020_ECCV_InterHand2.6M,
author = {Moon, Gyeongsik and Yu, Shoou-I and Wen, He and Shiratori, Takaaki and Lee, Kyoung Mu},
title = {InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020}
}
```
ResNet (CVPR'2016)
```bibtex
@inproceedings{he2016deep,
title={Deep residual learning for image recognition},
author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={770--778},
year={2016}
}
```
InterHand2.6M (ECCV'2020)
```bibtex
@InProceedings{Moon_2020_ECCV_InterHand2.6M,
author = {Moon, Gyeongsik and Yu, Shoou-I and Wen, He and Shiratori, Takaaki and Lee, Kyoung Mu},
title = {InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020}
}
```
Results on InterHand2.6M val & test set
| Train Set | Set | Arch | Input Size | MPJPE-single | MPJPE-interacting | MPJPE-all | MRRPE | APh | ckpt | log |
| :-------- | :-------- | :----------------------------------------: | :--------: | :----------: | :---------------: | :-------: | :---: | :--: | :----------------------------------------: | :---------------------------------------: |
| All | test(H+M) | [InterNet_resnet_50](/configs/hand/3d_kpt_sview_rgb_img/internet/interhand3d/res50_interhand3d_all_256x256.py) | 256x256 | 9.69 | 13.72 | 11.86 | 29.27 | 0.99 | [ckpt](https://download.openmmlab.com/mmpose/v1/hand_3d_keypoint/internet/interhand3d/internet_res50_interhand3d-d6ff20d6_20230913.pth) | [log](https://download.openmmlab.com/mmpose/v1/hand_3d_keypoint/internet/interhand3d/internet_res50_interhand3d-d6ff20d6_20230913.json) |
| All | val(M) | [InterNet_resnet_50](/configs/hand/3d_kpt_sview_rgb_img/internet/interhand3d/res50_interhand3d_all_256x256.py) | 256x256 | 11.30 | 15.57 | 13.36 | 32.15 | 0.98 | [ckpt](https://download.openmmlab.com/mmpose/v1/hand_3d_keypoint/internet/interhand3d/internet_res50_interhand3d-d6ff20d6_20230913.pth) | [log](https://download.openmmlab.com/mmpose/v1/hand_3d_keypoint/internet/interhand3d/internet_res50_interhand3d-d6ff20d6_20230913.json) |
| All | test(H+M) | [InterNet_resnet_50\*](/configs/hand/3d_kpt_sview_rgb_img/internet/interhand3d/res50_interhand3d_all_256x256.py) | 256x256 | 9.47 | 13.40 | 11.59 | 29.28 | 0.99 | [ckpt](https://download.openmmlab.com/mmpose/hand3d/internet/res50_intehand3dv1.0_all_256x256-42b7f2ac_20210702.pth) | [log](https://download.openmmlab.com/mmpose/hand3d/internet/res50_intehand3dv1.0_all_256x256_20210702.log.json) |
| All | val(M) | [InterNet_resnet_50\*](/configs/hand/3d_kpt_sview_rgb_img/internet/interhand3d/res50_interhand3d_all_256x256.py) | 256x256 | 11.22 | 15.23 | 13.16 | 31.73 | 0.98 | [ckpt](https://download.openmmlab.com/mmpose/hand3d/internet/res50_intehand3dv1.0_all_256x256-42b7f2ac_20210702.pth) | [log](https://download.openmmlab.com/mmpose/hand3d/internet/res50_intehand3dv1.0_all_256x256_20210702.log.json) |
*Models with * are trained in [MMPose 0.x](https://github.com/open-mmlab/mmpose/tree/0.x). The checkpoints and logs are only for validation.*