Classification on WHU-Hi-LongKou (0.1% train) benchmark leaderboard · SOTA2 Research

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

99.3Per-Class Accuracy (Class 1)LGEST

Evaluation Results

Method	Links
LGEST2026.03		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-ViT2026.03		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 CNN2026.03		99.13	64.75	0	91.14	19.05	96.45	98.9	70.66	21.95	61.31	91.17	88.12
SS-TMNet2026.03		99.1	81.33	20.6	94.74	62.91	96.05	98.62	74.95	54.39	73.23	93.78	91.71
Morphformer2026.03		98.36	87.14	26.74	94.45	57.82	96.77	98.73	66.03	45.97	71.81	93.54	91.37
SSFTT2026.03		98.31	75.38	2.39	94.44	37.26	96.02	97.58	57.93	23.32	64.3	91.92	89.16
HiT2026.03		97.34	75.16	9.61	94.04	38.35	95.44	97.69	76.45	44.58	67.69	92.28	89.69
SyCNN2026.03		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 CNN2026.03		95.12	59.79	0	88.82	44.35	92.14	99.08	49.2	28.23	58.46	89.4	85.64
Deep ViT2026.03		92.45	67.76	0	92.51	10.18	75.2	99.22	61.26	49.91	60.35	89.15	85.51
Cross ViT2026.03		89.96	64.29	0	92.13	7.92	71.19	99.32	67.08	47.72	59.46	88.61	84.76
HybridSN2026.03		87.72	50.97	1.02	90.01	19.09	69.91	94.29	36.02	15	51.5	85.58	80.15
ViT2026.03		85.94	58.59	0	90.76	0	49.7	98.81	67.08	17.53	52.62	86.12	81.31
SVM2026.03		74.34	27.18	0	85.37	0	1.86	99.64	53.22	0	40.14	79.98	72.76