Point Cloud Classification on ScanObjectNN S-PB_T50-RS-C benchmark leaderboard · SOTA2 Research

Point Cloud Classification on ScanObjectNN S-PB_T50-RS-C

57.04Accuracy (Original Data)Uni3D + BayesMM

Evaluation Results

Method
Uni3D + BayesMM2026.03	57.04	59.3	45.7	49.1	44.41	53.16	48.37	37.86	49.17
Uni3D + Point-Cache (Hierarchical)2026.03	51.13	51.67	41.88	44.59	38.79	49.03	41.05	34.7	44.1
O-Shape + BayesMM2026.03	50.52	49.51	43.64	49.53	41.22	47.11	45.31	30.29	44.39
Uni3D + Point-Cache (Global)2026.03	50.28	52.57	42.23	42.61	36.29	47.22	39.83	33.48	43.06
ULIP-2 + BayesMM2026.03	46.31	41.29	37.82	40.46	34.57	39.73	37.51	16.53	36.78
Uni3D2026.03	46.04	48.23	37.99	36.75	31.47	44	37.37	28.66	38.46
O-Shape + Point-Cache (Hierarchical)2026.03	43.72	40.91	39.24	43.03	35.22	43.06	37.4	25.05	38.45
ULIP-2 + Point-Cache (Hierarchical)2026.03	42.4	35.7	34.42	37.75	34.21	36.26	36.09	19.12	34.49
O-Shape + Point-Cache (Global)2026.03	42.16	40.32	37.58	42.02	33.76	41.53	38.24	24.12	37.47
O-Shape2026.03	41.12	32.41	35.6	37.8	27.34	36.61	35.22	18.88	33.12
ULIP + BayesMM2026.03	40.52	29.53	25.92	39.21	33.59	35.74	32.44	24.67	33.18
ULIP-2 + Point-Cache (Global)2026.03	40.28	36.4	33.8	35.39	30.88	33.66	35.01	18.36	32.97
ULIP-22026.03	33.38	30.29	29.42	28.24	24.91	28.56	30.22	12.98	27.25
ULIP + Point-Cache (Hierarchical)2026.03	32.48	23.46	22.69	34.7	31.75	33	28.28	25.05	28.93
ULIP + Point-Cache (Global)2026.03	32.37	22.87	20.85	33.31	27.9	30.85	28.63	24.53	27.66
ULIP2026.03	29.29	19.26	18.39	30.99	23.91	27.48	26.34	21.44	24.64