Semantic Segmentation on RETOUCH Spectralis (test) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on RETOUCH Spectralis (test)

22.45mIoU (3 Classes)IIC Baseline

Evaluation Results

Method
IIC Baseline2021.04	22.45	32.02	41.48	53.08	65.16
Mean-Taught Deep Supervision2021.04	21.91	42.14	54.7	60.45	66.39
Deeply Supervised IIC2021.04	20.78	31.39	39.18	50.1	65.18
Self-Taught Deep Supervision2021.04	20.47	36.4	49.39	59.29	66.34
Deeply Supervised MIL2021.04	20.02	31.5	44.29	51.13	62.04
Multi-Label Deep Supervision2021.04	17.98	32.92	42.96	52.68	65.82
Deeply Supervised MIL2021.04	17.14	20.18	24.15	29.12	37.94
Mean-Taught Deep Supervision2021.04	16.31	35.17	53.52	58.84	66.31
Perone and Cohen-Adad2021.04	16.17	33.1	45.8	54.75	65.49
Self-Taught Deep Supervision2021.04	16.04	22.15	28.63	32.37	38.97
MIL Baseline2021.04	15.82	16.95	22.56	26.48	37.15
Mean-Taught Deep Supervision2021.04	15.81	21.97	29.83	34.81	38.66
MIL Baseline2021.04	15.44	25.46	41.34	49.07	61.5
IIC Baseline2021.04	15.4	18.15	26.05	30.07	38.45
Baseline2021.04	14.8	26.98	35.39	48.63	62.09
Multi-Label Deep Supervision2021.04	14.59	19.62	27.89	32.02	38.66
Deeply Supervised IIC2021.04	12.77	17.76	28.99	30.64	38.81
Baseline2021.04	12.49	18.32	25.62	29.55	38.45
Perone and Cohen-Adad2021.04	11.17	19.02	27.44	31.72	39.38
Self-Taught Deep Supervision2021.04	10.37	28.62	43.57	56.11	66.24
Mean-Taught Deep Supervision2021.04	8.21	14.28	24.79	34.14	39.04
Self-Taught Deep Supervision2021.04	5.14	9.62	24.47	32.71	39.39