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3D Object Classification on ModelNet-C

86.57Accuracy (Add Global)

ULIP-2 + RC

Updated 25d ago

Evaluation Results

Method
ULIP-2 + RC 2024.10	86.57	86.3	84.87	67.8	84.6	81.17	46.43	76.82	-
ULIP + RC 2024.10	83.83	83.93	81.83	67.37	79.1	76.37	41.67	73.44	-
P-CLIP2 2024.10	83.49	83.49	68.85	66.67	70.13	75.68	61.21	72.79	-
ULIP 2024.10	82.5	82.27	80.77	65.43	72.27	74.67	45.6	71.93	-
ULIP-2 2024.10	81.97	82.03	79.93	60.03	80.3	75.77	44.27	72.04	-
P-CLIP 2024.10	80.97	80.97	64.95	68.31	65.75	72.04	52.09	69.3	-
Uni3D + BayesMM 2026.03	77.59	73.3	74.96	71.88	83.75	79.98	65.84	76.56	85.17
Uni3D + Point-Cache (Hierarchical) 2026.03	77.51	71.15	72.16	70.75	81.77	77.31	62.52	74.63	83.87
Uni3D + Point-Cache (Global) 2026.03	76.13	66.49	71.43	69.81	81.52	75.85	61.43	73.2	83.14
O-Shape + BayesMM 2026.03	75.36	74.39	83.14	77.07	84.08	79.96	69.45	78.61	85.49
O-Shape + Point-Cache (Hierarchical) 2026.03	74.84	73.7	82.21	76.26	82.66	78.12	68.35	77.52	84.04
O-Shape + Point-Cache (Global) 2026.03	74.72	72.77	82.41	75.12	83.18	78.93	67.91	77.45	84.52
Uni3D 2026.03	72.45	56.36	68.15	67.18	79.94	75.36	56.24	69.69	81.81
O-Shape 2026.03	71.64	67.79	81.56	73.58	82.01	78.48	59.36	74.87	84.56
ULIP-2 + BayesMM 2026.03	69.04	64.38	72.57	64.18	74.55	71.64	29.01	65.21	76.3
ULIP-2 + Point-Cache (Hierarchical) 2026.03	68.11	61.26	73.22	63.65	73.34	70.42	29.5	64.25	74.53
ULIP-2 + Point-Cache (Global) 2026.03	67.02	59.32	71.35	61.59	72.37	68.4	28.2	62.78	73.95
ULIP-2 2026.03	65.15	54.62	68.76	57.98	70.3	67.1	21.76	59.61	71.23
ULIP + BayesMM 2026.03	54.82	53.93	63.09	60.13	63.82	60.49	53.04	59.42	66.04
ULIP + Point-Cache (Hierarchical) 2026.03	46.15	47.85	59.16	56	61.47	55.35	49.92	55.02	64.22
ULIP + Point-Cache (Global) 2026.03	45.79	47.98	56.85	53.89	60.25	54.34	48.91	53.77	62.12
ULIP 2026.03	33.55	43.92	54.7	50.89	55.27	50.2	44.08	48.6	56.16