Point Cloud Classification on ScanObjectNN Sim-to-Real MN_11 and SN_9 source settings (test) benchmark leaderboard · SOTA2 Research

Point Cloud Classification on ScanObjectNN Sim-to-Real MN_11 and SN_9 source settings (test)

70.11Accuracy (MN_11 -> SONN_11 OBJ)ReFine3D

Evaluation Results

Method	Links
ReFine3D2026.06		70.11	72.53	56.87	66.92	73.03	60	66.58
PointPRC2026.06		68.43	69.47	55.3	65.83	72.53	58.57	65.02
PDG-P2026.06		67.6	58.5	56.6	57.3	51.3	51.3	57.1
PDG-D2026.06		65.3	65.4	55.2	59.1	59.3	51	59.2
ULIP-22026.06		62.73	68.23	52.83	66.9	70.5	54.03	62.54
MetaSets-P2026.06		60.3	52.4	47.4	51.8	44.3	45.6	50.3
MetaSets-D2026.06		58.4	59.3	48.3	49.8	47.4	42.7	51
ULIP2026.06		21.6	18.03	13.63	54.83	54.17	40.87	33.86
P-CLIP22026.06		18.67	15.57	15.63	53	47.83	35.83	31.09