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L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, A. Bruhn — University of Stuttgart

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💡 Please note that methods marked "submitted by spring team" have not been finetuned on Spring.

Name 1px
total
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low-det.
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high-det.
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matched
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unmat.
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rigid
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non-rig.
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not sky
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sky
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s0-10
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s10-40
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SF 1px D1 1px D2 1px Fl
 
1 24.752 24.071 58.253 21.571 65.837 20.663 55.685 21.026 81.372 21.571 14.817 54.306 11.417 19.888 14.999 9.203
 
2 26.714 26.031 60.302 23.420 69.262 21.780 64.043 24.049 67.216 22.622 15.982 59.331 9.990 18.226 18.979 14.461
R. Saxena, R. Schuster, O. Wasenmuller, and D. Stricker. "PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation." In IEEE Intelligent Vehicles Symposium (IV), 2019.
3 34.896 34.298 64.324 32.028 71.943 29.810 73.377 31.355 88.712 29.890 23.911 69.148 16.103 19.888 24.256 20.374
💡 submitted by spring team | L. Mehl, A. Jahedi, J. Schmalfuss, and A. Bruhn. "M-FUSE: Multi-frame Fusion for Scene Flow Estimation." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
4 50.083 49.640 71.884 47.795 79.636 46.754 75.267 46.848 99.252 31.115 42.699 89.550 34.151 23.225 44.104 24.012
💡 submitted by spring team | H. Liu, T. Lu, Y. Xu, J. Liu, W. Li, and L. Chen. "CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
5 37.262 36.796 60.227 34.340 75.021 32.866 70.522 33.231 98.531 43.799 24.546 63.914 17.345 32.309 32.948 13.962
💡 submitted by spring team | Z. Teed, and J. Deng. "RAFT-3D: Scene Flow using Rigid-Motion Embeddings." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
6 85.310 85.180 91.671 84.463 96.246 84.181 93.853 84.346 99.956 65.159 87.845 99.861 70.870 32.309 76.319 69.685
💡 submitted by spring team | H. Liu, T. Lu, Y. Xu, J. Liu, W. Li, and L. Chen. "CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
7 62.490 62.291 72.306 60.574 87.247 60.385 78.416 60.032 99.850 82.966 49.200 75.963 25.232 52.232 57.029 20.979
💡 submitted by spring team | L. Mehl, A. Jahedi, J. Schmalfuss, and A. Bruhn. "M-FUSE: Multi-frame Fusion for Scene Flow Estimation." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
8 78.822 78.753 82.195 78.329 85.191 79.618 72.799 77.570 97.838 84.329 81.680 65.478 66.879 23.225 73.426 48.066
💡 submitted by spring team | Z. Teed, and J. Deng. "RAFT-3D: Scene Flow using Rigid-Motion Embeddings." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.