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ResearchFormerly WizWand

Image Classification on STL-10 (test) (CIFAR-10 Pre-training)

85.29Balanced AccuracySupCon (Baseline)
78.21880.05481.8983.726Feb 10, 2026
Updated 8mo ago

Evaluation results

MethodLinks
SupCon (Baseline)SSL Framework=SupCon2026.0285.29——
MoCo2+ (Baseline)SSL Framework=MoCo2+2026.0284.46——
ZePAD (SimCLR)SSL Framework=SimCLR2026.0284.38——
MoCo3 (Baseline)SSL Framework=MoCo32026.0284——
ZePAD (VibCreg)SSL Framework=VibCreg2026.0283.65——
DINO (Baseline)SSL Framework=DINO2026.0283.54——
ZePAD (MoCo3)SSL Framework=MoCo32026.0283.51——
NNCLR (Baseline)SSL Framework=NNCLR2026.0283.09——
BYOL (Baseline)SSL Framework=BYOL2026.0283.08——
ZePAD (SupCon)SSL Framework=SupCon2026.0282.9——
ZePAD (NNCLR)SSL Framework=NNCLR2026.0282.52——
ZePAD (BYOL)SSL Framework=BYOL2026.0282.3——
ZePAD (RESSL)SSL Framework=RESSL2026.0282.1——
SimCLR (Baseline)SSL Framework=SimCLR2026.0281.94——
RESSL (Baseline)SSL Framework=RESSL2026.0281.87——
ZePAD (SwAV)SSL Framework=SwAV2026.0281.87——
VibCreg (Baseline)SSL Framework=VibCreg2026.0281.64——
SwAV (Baseline)SSL Framework=SwAV2026.0281.53——
ZePAD (MoCo2+)SSL Framework=MoCo2+2026.0281.52——
ZePAD (W-MSE)SSL Framework=W-MSE2026.0281.43——
ZePAD (DINO)SSL Framework=DINO2026.0281.42——
W-MSE (Baseline)SSL Framework=W-MSE2026.0278.49——
ACLPre-training=ACL, Finetuning=SLF2023.04—25.4156.53
ACLPre-training=ACL, Finetuning=ALF2023.04—27.1751.71
ACLPre-training=ACL, Finetuning=AFF2023.04—32.6661.41
ACL-AIRPre-training=ACL-AIR, Finetuning=SLF2023.04—2861.91
ACL-AIRPre-training=ACL-AIR, Finetuning=ALF2023.04—30.0662.03
ACL-AIRPre-training=ACL-AIR, Finetuning=AFF2023.04—34.2662.58
DynACLPre-training=DynACL, Finetuning=SLF2023.04—28.5252.45
DynACLPre-training=DynACL, Finetuning=ALF2023.04—29.1349.53
DynACLPre-training=DynACL, Finetuning=AFF2023.04—35.2563.29
DynACL-AIRPre-training=DynACL-AIR, Finetuning=SLF2023.04—29.8854.59
DynACL-AIRPre-training=DynACL-AIR, Finetuning=ALF2023.04—31.2457.14
DynACL-AIRPre-training=DynACL-AIR, Finetuning=AFF2023.04—35.6663.74