List your company

ResearchFormerly WizWand

Classification on MSTAR (4-shot)

60.65PrecisionSiT(B/2)

Evaluation results

Method	Links
SiT(B/2)2026.01		60.65	60.01	55.64	56
Cr-GAN2026.01		58.4	60.06	58.25	57.37
EDM2(With Pretrained)2026.01		57.45	52.7	51.9	51.81
R3GAN2026.01		56.5	57.04	51.05	52.27
DDPM2026.01		56.15	52.45	52.3	52.25
StyleGAN2 + ADA2026.01		53.04	56.85	53.35	52.63
DCGAN2026.01		52.8	51.63	49.76	48.73
StyleGAN2 + DiffAugment2026.01		51.62	51.14	50.64	49.3
EDM22026.01		50.41	46.52	43.27	42.9
Efficientnet2026.01		48.85	38.46	39.02	36.25
DiT(B/2)2026.01		48.39	47.43	46.21	44.88
Densenet1212026.01		46.84	45.43	40.88	37.78
Resnext1012026.01		44.74	43.62	43.12	38.97
StyleGAN22026.01		43.45	47.17	42.58	41.29
Resnet182026.01		42.87	39.99	41.41	39.29
StyleGAN2 + DA + RLC2026.01		40.48	42.93	41.12	38.59
SiT(S/2)2026.01		40.36	43.15	39.37	38.47
resnext502026.01		39.97	35.72	35.33	31.85
ViT-Base2026.01		35.85	29.66	29.59	28.05
Regnet2026.01		32.87	36.99	31.43	25.46
Resnet502026.01		29.03	36.34	32.04	27.22
Swin2026.01		23.31	32.13	21.83	16.67
Convnext2026.01		22.88	29.82	20.19	13.97
ViT-Base(finetune-head)2026.01		22.09	20.89	20.96	20.89
Swin v22026.01		1.83	18.33	10	3.1