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Rotation prediction on ModelNet10-SO(3) (test)

16.3Avg Rotation ErrorKlee et al.
14.9823.8932.841.71Jul 7, 2023

Evaluation results

MethodLinks
Klee et al.2023.0716.3124.73.14.44.73.44.44.137.73.6
Mohlin et al.2023.0717.189.14.45.2136.35.813.5425.84
induction/restriction layer2023.0717.8123.74.65.56.95.26.16.54.512.14.9
Murphy et al.2023.0721.51614.45.57.15.55.77.54.194.8
Deng et al.2023.0732.6147.89.28.32511.99.836.91058.68.5
Liao et al.2023.0736.5113.313.313.739.226.916.444.21274.810.9
Brégier2023.0739.998.917.4185031.518.746.517.486.714.2
Zhou et al.2023.0741.1103.318.118.351.532.219.748.41788.213.8
Prokudin et al.2023.0749.3122.83.69.6117.229.96.77310.4115.54.1