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ResearchFormerly WizWand

Classification on ImageNet 1k (val)

83.8Top-1 AccOmnivorous ViT-B/14
65.80870.47975.1579.821Nov 29, 2021Aug 14, 2022Apr 30, 2023Jan 13, 2024Sep 28, 2024Jun 13, 2025Feb 27, 2026
Updated 4mo ago

Evaluation results

MethodLinks
Omnivorous ViT-B/14feature type=tok & gap, evaluation protocol=linear probe2026.0283.8
Omnivorous ViT-B/14feature type=tok, evaluation protocol=linear probe2026.0283.5
SwinT + DenoiseRepModel=SwinT, Backbone=SwinV2-T2024.0682.13
SwinTModel=SwinT, Backbone=SwinV2-T2024.0681.82
DINOv2 ViT-B/14feature type=tok & gap, evaluation protocol=linear probe2026.0280.4
DINOv2 ViT-B/14feature type=tok, evaluation protocol=linear probe2026.0280.1
Truncated TripletPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1175.9
NNCLRPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1175.4
MoCov3Pre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1174.6
BYOLPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1174.3
SCEPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1174.1
Truncated TripletPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.1173.8
SCEPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.1173.3
Barlow-TwinsPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1173.2
VICRegPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1173.2
AdCoPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1172.8
MoCov3Pre-training Epochs=300, Evaluation Protocol=linear evaluation2021.1172.8
SCEPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1172.7
BYOLPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.1172.5
MoCov2Pre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1172.2
WCLPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1172.2
SCEPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1172.1
SwaVPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1171.8
Barlow-TwinsPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.1171.4
ReSSLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1171.4
NNCLRPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1170.7
BYOLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1170.6
SimCLRPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.1170.4
WCLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1170.3
UniGradPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1170.3
MoCov2Pre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1169.9
NNCLRPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1169.4
SwaVPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1169.1
MoCov3Pre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1168.9
AdCoPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1168.6
SimCLRPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.1168.3
WCLPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1168.1
MoCov2Pre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1167.4
SimCLRPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1166.5
SwaVPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1166.5
BYOLPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.1166.5