Semantic Segmentation on Sensat Urban benchmark leaderboard · SOTA2 Research

Semantic Segmentation on Sensat Urban

93.7OAEyeNet

Evaluation Results

Method	Links
EyeNet2023.01		93.7	62.3	86.6	98.6	96.2	65.8	59.2	64.8	17.9	64.8	49.8	83.1	46.2	11.1	65.4
KPConv2023.01		93.2	57.58	87.1	98.31	95.33	74.4	28.69	41.38	0	55.99	54.43	85.67	40.39	0	86.3
RandLA++2023.01		91.9	57.1	84.1	98.2	94.8	58.6	59.8	53.4	0	54.6	42.6	78.2	38.2	0	69.7
RandLA2023.01		89.78	52.69	80.11	98.07	91.58	48.88	40.75	51.62	0	56.67	33.23	80.14	32.63	0	71.31
SparseConv2023.01		88.66	42.66	74.1	97.9	94.2	63.3	7.5	24.2	0	30.1	34	74.4	0	0	54.8
SPGraph2023.01		85.27	37.29	69.93	94.55	88.87	32.83	12.58	15.77	15.48	30.63	22.96	56.42	0.54	0	44.24
PointNet++2023.01		84.3	32.92	72.46	94.24	84.77	2.72	2.09	25.79	0	31.54	11.42	38.84	7.12	0	56.93
PointNet2023.01		80.78	23.71	67.96	89.52	80.05	0	0	3.95	0	31.55	0	35.14	0	0	0
Tangent Conv2023.01		76.97	33.3	71.54	91.38	75.9	35.22	0	45.34	0	26.69	19.24	67.58	0.01	0	0