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3D Object Classification on ModelNet10 (test)

99.6Mean Class Accuracy

R2-MLP-36

27.42446.16264.983.638Apr 12, 2016Jun 1, 2017Jul 21, 2018Sep 9, 2019Oct 28, 2020Dec 17, 2021Feb 5, 2023
Updated 4d ago

Evaluation Results

MethodLinks
2022.11
99.6---
2022.11
99.3---
2022.11
99---
2022.11
98.5---
2022.11
97.4---
2017.11
97.14---
2020.03
95.9---
2022.11
95.9---
2022.11
95.8---
2020.03
95.7---
2020.03
95.7---
2020.03
95.5---
2017.12
95.3---
2020.03
95.3---
2022.11
95.3---
2022.11
95.3---
2017.11
95.2---
2020.03
94.9---
2022.11
94.8---
2022.11
94.7---
2017.12
94.4---
2019.02
94.494.6--
2017.11
94.3---
2020.03
94.1---
2017.11
94---
2020.03
94---
2022.11
94---
2016.04
93.9---
2019.02
93.994.1--
2017.04
93.8---
2016.04
93.8---
2016.04
93.6---
2017.11
93.6---
2017.11
93.3---
2016.04
93.1---
2017.11
93.1---
2019.02
92.893.3--
2017.04
92---
2016.04
92---
2017.11
92---
2017.12
91---
2020.03
90.8---
2019.02
90.190.9--
2017.04
9090.8--
2019.02
9090.8--
2017.04
89.390--
2016.04
85.5---
2017.04
83.5---
2016.04
83.5---
2017.11
83.5---
2017.12
80.5---
2017.12
79.9---
2017.12
79.8---
2023.02
75.6---
2023.02
74.2---
2023.02
66.6---
2023.02
30.2---
2019.02
-94.4--
2020.02
--6.02-
2020.02
--5.25-
2022.11
---66.63
2022.11
---68.5
2022.11
---30.23
2022.11
---73.13