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Classification on WHU-Hi-LongKou (0.1% train)

99.3Per-Class Accuracy (Class 1)

LGEST

Updated 23d ago

Evaluation Results

Method	Links
LGEST 2026.03		99.3	86.52	74.51	96.68	63.38	95.4	99.08	77.07	70.91	82.14	95.4	93.91
GSC-ViT 2026.03		99.2	84.17	48.96	96.88	60.47	95.46	99.58	70.39	63.83	78.9	95.01	93.4
2D CNN 2026.03		99.13	64.75	0	91.14	19.05	96.45	98.9	70.66	21.95	61.31	91.17	88.12
SS-TMNet 2026.03		99.1	81.33	20.6	94.74	62.91	96.05	98.62	74.95	54.39	73.23	93.78	91.71
Morphformer 2026.03		98.36	87.14	26.74	94.45	57.82	96.77	98.73	66.03	45.97	71.81	93.54	91.37
SSFTT 2026.03		98.31	75.38	2.39	94.44	37.26	96.02	97.58	57.93	23.32	64.3	91.92	89.16
HiT 2026.03		97.34	75.16	9.61	94.04	38.35	95.44	97.69	76.45	44.58	67.69	92.28	89.69
SyCNN 2026.03		97.26	83.74	3.11	93.53	57.19	92.14	98.77	62.39	58.03	70.04	92.4	89.88
3D CNN 2026.03		95.12	59.79	0	88.82	44.35	92.14	99.08	49.2	28.23	58.46	89.4	85.64
Deep ViT 2026.03		92.45	67.76	0	92.51	10.18	75.2	99.22	61.26	49.91	60.35	89.15	85.51
Cross ViT 2026.03		89.96	64.29	0	92.13	7.92	71.19	99.32	67.08	47.72	59.46	88.61	84.76
HybridSN 2026.03		87.72	50.97	1.02	90.01	19.09	69.91	94.29	36.02	15	51.5	85.58	80.15
ViT 2026.03		85.94	58.59	0	90.76	0	49.7	98.81	67.08	17.53	52.62	86.12	81.31
SVM 2026.03		74.34	27.18	0	85.37	0	1.86	99.64	53.22	0	40.14	79.98	72.76