Semantic Segmentation on CSDD original (test)

78.3F1 Score (w/bg)FORTRESS

Evaluation results

Method
FORTRESS2026.01	78.3	75.9	66.3	62.7	79.1	0.763	67.4
E-FPN2026.01	74.95	72.16	62.27	58.24	70.49	0.7338	63.92
UNet3+2026.01	72.12	69.04	58.85	54.49	71.63	0.6938	58.15
UNet3+2026.01	72.1	69	58.9	54.5	71.6	0.694	58.2
UNeXt2026.01	71.83	68.72	58.72	54.35	69.17	0.6895	57.31
UNeXt2026.01	71.8	68.7	58.7	54.4	69.2	0.69	57.3
U-KAN2026.01	69.81	66.43	56.37	51.69	68.48	0.6727	57.62
U-KAN2026.01	69.8	66.4	56.4	51.7	68.5	0.673	57.6
BiFPN2026.01	69.2	65.7	55.6	50.8	64.3	0.667	57.3
BiFPN2026.01	69.18	65.73	55.59	50.82	64.29	0.6673	57.26
SA-UNet2026.01	68.8	65.3	55	50.2	73.2	0.662	57.2
SA-UNet2026.01	68.75	65.27	54.97	50.18	73.15	0.6622	57.24
Att. U-Net2026.01	67.54	63.92	53.55	48.59	69.79	0.6491	53.97
Att. U-Net2026.01	67.5	63.9	53.6	48.6	69.8	0.649	54
UNet++2026.01	65.8	61.9	52.8	47.8	58.6	0.641	53.5
UNet++2026.01	65.77	61.91	52.83	47.75	58.55	0.6409	53.52
U-Net2026.01	60.2	55.7	46.1	40.3	62	0.573	49.3
U-Net2026.01	60.18	55.67	46.14	40.31	61.97	0.5727	49.28
FPN2026.01	59.4	54.9	45.7	40	59.2	0.565	49
FPN2026.01	59.39	54.87	45.71	39.98	59.23	0.5653	49.02
Swin-UNet2026.01	58.1	53.4	44.2	38.3	54.6	0.542	43.8
Swin-UNet2026.01	58.09	53.41	44.18	38.27	54.59	0.542	43.75
EGE-UNet2026.01	55.91	50.97	42.44	36.35	47.97	0.5296	39.44
EGE-UNet2026.01	55.9	51	42.4	36.4	48	0.53	39.4
Segformer2026.01	55.31	50.48	41.1	35.16	56.02	0.5085	34.78
Segformer2026.01	55.3	50.5	41.1	35.2	56	0.509	34.8
HierarchicalViT U-Net2026.01	53.73	48.53	40.23	33.87	52.16	0.5088	41.69
HierarchicalViT U-Net2026.01	53.7	48.5	40.2	33.9	52.2	0.509	41.7
FasterVit2026.01	13.11	3.04	11.32	1.73	12.85	0.0533	5.09
FasterVit2026.01	13.1	3	11.3	1.7	12.9	0.053	5.1
Rolling UNet-L2026.01	12.1	1.9	10.7	1	12	0.045	2.6
Rolling UNet-L2026.01	12.06	1.87	10.66	1	12.03	0.0453	2.61
MobileUNETR2026.01	11.9	1.7	10.6	0.9	11.9	0.039	2.4
MobileUNETR2026.01	11.87	1.65	10.55	0.88	11.92	0.0394	2.37