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ResearchFormerly WizWand

Classification on MSTAR 8-shot

72.5PrecisionCr-GAN

Evaluation results

Method	Links
Cr-GAN2026.01		72.5	71.21	70.01	71.23
SiT(B/2)2026.01		68.15	71.1	67.5	67.82
StyleGAN2 + ADA2026.01		68.13	69.06	67.08	67.41
DiT(B/2)2026.01		67.75	68.31	67.17	66.81
EDM2(With Pretrained)2026.01		66.86	68.9	65.9	65.83
StyleGAN2 + DA + RLC2026.01		66.22	67.53	66.22	65.87
EDM22026.01		65.91	70.4	65.32	64.86
DDPM2026.01		65.2	70.55	65.1	65.15
DCGAN2026.01		64.92	68.5	64.58	63.68
StyleGAN22026.01		62.98	65.16	61.65	61.77
R3GAN2026.01		62.47	62.47	62.31	61.79
StyleGAN2 + DiffAugment2026.01		60.91	61.75	59.68	59.49
Resnet502026.01		60.34	60.72	59.8	58.91
Resnet182026.01		59.97	58.26	59.77	57.33
Densenet1212026.01		59.33	60.57	59.05	57.16
resnext502026.01		56.79	54.45	52.87	52.05
Resnext1012026.01		56.76	51.36	51.19	49.15
Regnet2026.01		51.78	52.67	49.9	48.45
SiT(S/2)2026.01		51.52	50.98	48.55	49.11
ViT-Base2026.01		51.27	47.3	51.89	48.42
Efficientnet2026.01		51.15	50.39	49.26	48.04
Swin v22026.01		49.18	46.71	44.87	45.59
Convnext2026.01		34.21	38.65	33.28	29.77
Swin2026.01		30.03	33.72	34.87	27.15
ViT-Base(finetune-head)2026.01		22.55	23.17	26	21.56