Semantic Segmentation on Embryo image dataset (test) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on Embryo image dataset (test)

94.51Accuracy (%)SplitFed-CL

Evaluation Results

Method	Links
SplitFed-CL2026.05		94.51	0.0725	—	82.65	78.62	87.8	89.23	89.95
SplitFed-CL2026.05		94.48	0.0753	—	81.47	78.16	88.11	88.98	89.6
SplitFed-CL2026.05		94.34	0.0775	—	82.5	76.51	87.05	87.99	89.33
FedNCL-V22026.05		94.2	0.0776	—	82.81	78.28	87.02	88.14	89.07
FedAVG2026.05		93.68	0.096	—	76.84	73.39	85.76	86.05	86.61
ARFL2026.05		93.65	0.083	—	82.12	77.13	85.73	87.32	88.39
Smart SplitFed2026.01		93.6	0.06	94	80	75	85	88	—
Smart SplitFed2026.01		93.52	0.07	95	78	73	83	88	—
Naive SplitFed2026.01		93.39	0.08	93	78	74	85	88	—
SplitFed-CL2026.05		93.26	0.0806	—	81.06	75.33	86.12	86.55	88.25
Smart SplitFed2026.01		93.18	0.07	94	77	72	83	87	—
Smart SplitFed2026.01		93.12	0.06	94	78	73	82	87	—
QA-SplitFed2026.05		93.12	0.0945	—	80.77	73.18	84.6	86.32	86.95
Smart SplitFed2026.01		93.05	0.08	94	79	74	85	88	—
Smart SplitFed2026.01		92.97	0.12	93	78	74	83	87	—
FedMix2026.05		92.89	0.1033	—	77.8	70.47	84.23	85.14	86.08
Smart SplitFed2026.01		92.66	0.08	93	78	74	85	86	—
SplitFedAVG2026.01		92.5	0.1	92	75	74	83	87	—
FedAVG2026.05		92.34	0.1074	—	78.83	68.46	83.72	84.05	85.57
DHLC2026.05		92.32	0.1349	—	72.05	60.37	81.85	84.16	82.25
CELC2026.05		91.78	0.1387	—	72.96	58.46	81.56	83.15	82.09
SplitFedAVG2026.01		89.44	0.13	88	71	71	77	83	—
Naive SplitFed2026.01		89	0.17	90	71	70	73	79	—
SplitFedAVG2026.01		87.1	0.16	86	64	65	74	79	—
Naive SplitFed2026.01		82.02	0.21	74	51	65	75	79	—
SplitFedAVG2026.01		76.49	0.23	59	50	67	73	78	—
Naive SplitFed2026.01		40.27	—	40	0	0	0	0	—
Naive SplitFed2026.01		40.27	—	40	0	0	0	0	—
SplitFedAVG2026.01		40.27	—	40	0	0	0	0	—
Naive SplitFed2026.01		40.27	—	40	0	0	0	0	—
SplitFedAVG2026.01		40.27	—	40	0	0	0	0	—
Naive SplitFed2026.01		40.27	—	40	0	0	0	0	—
SplitFedAVG2026.01		40.27	—	40	0	0	0	0	—