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Image Classification on ImageNet (Accuracy and Coverage Analysis)

79.5AccuracyCPr-value
65.04468.79772.5576.303May 22, 2026

Evaluation results

MethodLinks
CPr-valueModel=MobileCLIP2-S4, Alpha=0.052026.0579.595.1——3———
CPavgModel=MobileCLIP2-S4, Alpha=0.052026.0579.5—95——3—-0.4
CPModel=MobileCLIP2-S4, Alpha=0.052026.0579.5——95.1——3.1-4
CPr-valueModel=MobileCLIP2-S3, Alpha=0.052026.0578.695.1——3.1———
CPavgModel=MobileCLIP2-S3, Alpha=0.052026.0578.6—95.4——3.2—-1.7
CPModel=MobileCLIP2-S3, Alpha=0.052026.0578.6——95.2——3.3-6.1
CPr-valueModel=MobileCLIP2-B, Alpha=0.052026.0576.895.3——3.5———
CPavgModel=MobileCLIP2-B, Alpha=0.052026.0576.8—95.3——3.5—-0.5
CPModel=MobileCLIP2-B, Alpha=0.052026.0576.8——95.2——3.6-4.2
CPr-valueModel=MobileCLIP2-S2, Alpha=0.052026.0575.895——4———
CPavgModel=MobileCLIP2-S2, Alpha=0.052026.0575.8—95.1——4.4—-8.2
CPModel=MobileCLIP2-S2, Alpha=0.052026.0575.8——95.3——4.4-8
CPr-valueModel=SigLIP2-SO400M/16, Alpha=0.052026.0575.194.8——8.8———
CPavgModel=SigLIP2-SO400M/16, Alpha=0.052026.0575.1—95.3——9.5—-7.2
CPModel=SigLIP2-SO400M/16, Alpha=0.052026.0575.1——95.3——10.9-19.7
CPr-valueModel=SigLIP2-L/16, Alpha=0.052026.0573.694.9——8.8———
CPavgModel=SigLIP2-L/16, Alpha=0.052026.0573.6—95.3——9.8—-10.6
CPModel=SigLIP2-L/16, Alpha=0.052026.0573.6——95——12.3-28.5
CPr-valueModel=SigLIP2-B/16, Alpha=0.052026.0572.194.9——7.3———
CPavgModel=SigLIP2-B/16, Alpha=0.052026.0572.1—95——8.3—-13
CPModel=SigLIP2-B/16, Alpha=0.052026.0572.1——95.4——10.7-32.3
CPr-valueModel=SigLIP2-B/32, Alpha=0.052026.0565.694.9——13———
CPavgModel=SigLIP2-B/32, Alpha=0.052026.0565.6—95.1——14.4—-9.9
CPModel=SigLIP2-B/32, Alpha=0.052026.0565.6——95.1——19.6-33.5