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ResearchFormerly WizWand

Classification on MSTAR 2-shot

52.98PrecisionEDM2(With Pretrained)

Evaluation results

Method	Links
EDM2(With Pretrained)2026.01		52.98	43.83	46.28	43.87
SiT(B/2)2026.01		52.19	45.46	44.48	43.97
R3GAN2026.01		51.66	40.65	41.01	40.51
EDM22026.01		50.41	46.52	43.27	42.91
Cr-GAN2026.01		48.1	47.24	46.42	47.2
StyleGAN2 + DiffAugment2026.01		47.31	44.11	42.98	42.74
DiT(B/2)2026.01		46.41	34.97	37.44	37.44
StyleGAN2 + DA + RLC2026.01		46.04	31.94	33.27	34.69
StyleGAN22026.01		45.82	43.43	42.33	39.74
DDPM2026.01		44.6	40.68	39.79	38.69
DCGAN2026.01		43.58	36.49	35.23	35.1
StyleGAN2 + ADA2026.01		41.98	38.46	39.41	35.79
Swin2026.01		39.68	28.69	25.76	20.77
Resnet182026.01		37.82	33.22	34.7	33.35
Resnext1012026.01		37.34	30.41	25.19	21.22
SiT(S/2)2026.01		36.85	33.41	32.48	30.71
Regnet2026.01		34.68	36.75	31.96	29.78
Densenet1212026.01		34.34	28.35	27.01	22.63
Convnext2026.01		29.88	26.54	27.25	22.82
Efficientnet2026.01		29.19	25.6	27.46	25.55
Resnet502026.01		27.14	25.98	22.55	19
Swin v22026.01		24.49	28.97	24.7	21.23
resnext502026.01		22.77	29.32	27.3	21.32
ViT-Base2026.01		22.09	25.01	21.33	18.24
ViT-Base(finetune-head)2026.01		15.89	16.23	19.11	13.05