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ResearchFormerly WizWand

Image Classification on ImageNet-1K (Top-1)

85.25Top-1 AccuracySR-ViT-B
73.5576.587579.62582.6625Feb 9, 2025May 5, 2025Jul 30, 2025Oct 24, 2025Jan 17, 2026Apr 13, 2026Jul 8, 2026
Updated 3mo ago

Evaluation results

MethodLinks
SR-ViT-BRecursion (T)=3, Resolution=384 x 384, Params (M)=41.0, GFLOPs=70.4, Distillation=true2026.0785.25
SR-ViT-SRecursion (T)=4, Resolution=384 x 384, Params (M)=23.8, GFLOPs=54.8, Distillation=true2026.0785.08
SR-ViT-BRecursion (T)=2, Resolution=384 x 384, Params (M)=39.9, GFLOPs=48.3, Distillation=true2026.0785.07
SR-ViT-SRecursion (T)=3, Resolution=384 x 384, Params (M)=23.2, GFLOPs=41.7, Distillation=true2026.0784.87
DeiT-BResolution=384 x 384, Params (M)=86.8, GFLOPs=55.5, Distillation=true2026.0784.5
SR-ViT-BRecursion (T)=2, Resolution=384 x 384, Params (M)=39.9, GFLOPs=48.3, Distillation=false2026.0784.39
SR-ViT-SRecursion (T)=2, Resolution=384 x 384, Params (M)=22.7, GFLOPs=28.6, Distillation=true2026.0784.27
SR-ViT-SRecursion (T)=4, Resolution=384 x 384, Params (M)=23.8, GFLOPs=54.8, Distillation=false2026.0784.24
SR-ViT-SRecursion (T)=3, Resolution=384 x 384, Params (M)=23.2, GFLOPs=41.7, Distillation=false2026.0784.19
SR-ViT-SRecursion (T)=2, Resolution=384 x 384, Params (M)=22.7, GFLOPs=28.6, Distillation=false2026.0784.07
SR-ViT-BRecursion (T)=3, Resolution=224 x 224, Params (M)=41.0, GFLOPs=21.6, Distillation=true2026.0784.02
SR-ViT-BRecursion (T)=2, Resolution=224 x 224, Params (M)=39.9, GFLOPs=14.8, Distillation=true2026.0783.75
SR-ViT-SRecursion (T)=4, Resolution=224 x 224, Params (M)=23.8, GFLOPs=16.3, Distillation=true2026.0783.57
SR-ViT-SRecursion (T)=3, Resolution=224 x 224, Params (M)=23.2, GFLOPs=12.4, Distillation=true2026.0783.36
DeiT-BResolution=224 x 224, Params (M)=86.8, GFLOPs=17.5, Distillation=true2026.0783.33
SR-ViT-TRecursion (T)=3, Resolution=384 x 384, Params (M)=15.8, GFLOPs=26.2, Distillation=false2026.0783.22
DeiT-BResolution=384 x 384, Params (M)=86.8, GFLOPs=55.5, Distillation=false2026.0783.1
SR-ViT-BRecursion (T)=2, Resolution=224 x 224, Params (M)=39.9, GFLOPs=14.8, Distillation=false2026.0782.76
SR-ViT-SRecursion (T)=2, Resolution=224 x 224, Params (M)=22.7, GFLOPs=8.5, Distillation=true2026.0782.67
SR-ViT-SRecursion (T)=4, Resolution=224 x 224, Params (M)=23.8, GFLOPs=16.3, Distillation=false2026.0782.48
SR-ViT-SRecursion (T)=3, Resolution=224 x 224, Params (M)=23.2, GFLOPs=12.4, Distillation=false2026.0782.45
SR-ViT-TRecursion (T)=2, Resolution=384 x 384, Params (M)=15.4, GFLOPs=18.3, Distillation=false2026.0782.21
H8(ViT-H/16)FLOPs (x10^9)=77.5, Evaluation Protocol=linear2025.0582.2
SR-ViT-BRecursion (T)=3, Resolution=224 x 224, Params (M)=41.0, GFLOPs=21.6, Distillation=false2026.0782.19
SR-ViT-SRecursion (T)=2, Resolution=224 x 224, Params (M)=22.7, GFLOPs=8.5, Distillation=false2026.0782.02
H2(ViT-H/16)FLOPs (x10^9)=97.0, Evaluation Protocol=linear2025.0581.9
I8(ViT-H/16)FLOPs (x10^9)=77.7, Evaluation Protocol=linear2025.0581.9
DeiT-BResolution=224 x 224, Params (M)=86.8, GFLOPs=17.5, Distillation=false2026.0781.8
ViT-H/16FLOPs (x10^9)=127.7, Evaluation Protocol=linear2025.0581.7
H8(ViT-H/16)FLOPs (x10^9)=77.5, Evaluation Protocol=k-NN2025.0581.4
H2(ViT-L/16)FLOPs (x10^9)=46.9, Evaluation Protocol=linear2025.0581.3
H8(ViT-L/16)FLOPs (x10^9)=37.7, Evaluation Protocol=linear2025.0581.3
S2-FracMixBackbone=ViT-B2026.0681.2
I8(ViT-L/16)FLOPs (x10^9)=38.5, Evaluation Protocol=linear2025.0581.2
DeiT-SResolution=224 x 224, Params (M)=22.1, GFLOPs=4.6, Distillation=true2026.0781.18
iBOTBackbone=ViT-L/16, Pre-training Epochs=250, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0681
ViT-H/16FLOPs (x10^9)=127.7, Evaluation Protocol=k-NN2025.0581
SR-ViT-TRecursion (T)=3, Resolution=224 x 224, Params (M)=15.8, GFLOPs=7.8, Distillation=false2026.0780.93
H2(ViT-H/16)FLOPs (x10^9)=97.0, Evaluation Protocol=k-NN2025.0580.9
I8(ViT-H/16)FLOPs (x10^9)=77.7, Evaluation Protocol=k-NN2025.0580.9
ViT-L/16FLOPs (x10^9)=61.9, Evaluation Protocol=linear2025.0580.9
MixUpBackbone=ViT-B2026.0680.8
H8(ViT-L/16)FLOPs (x10^9)=37.7, Evaluation Protocol=k-NN2025.0580.8
H2(ViT-L/16)FLOPs (x10^9)=46.9, Evaluation Protocol=k-NN2025.0580.7
ViT-L/16FLOPs (x10^9)=61.9, Evaluation Protocol=k-NN2025.0580.5
I8(ViT-L/16)FLOPs (x10^9)=38.5, Evaluation Protocol=k-NN2025.0580.4
CutMixBackbone=ViT-B2026.0679.9
SR-ViT-TRecursion (T)=2, Resolution=224 x 224, Params (M)=15.4, GFLOPs=5.4, Distillation=false2026.0779.89
DeiT-SResolution=224 x 224, Params (M)=22.1, GFLOPs=4.6, Distillation=false2026.0779.83
iBOTBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0679.8
RAPIDBackbone=DeiT-S, Plug-and-Play=true, Compression Rate (%)=352026.0679.57
EViTBackbone=DeiT-S, Plug-and-Play=false, Compression Rate (%)=352026.0679.36
SP-ViTBackbone=DeiT-S, Plug-and-Play=false, Compression Rate (%)=352026.0679.34
DynamicViTBackbone=DeiT-S, Plug-and-Play=false, Compression Rate (%)=352026.0679.32
I-JEPABackbone=ViT-H/14, Pre-training Epochs=300, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0679.3
ToMeBackbone=DeiT-S, Plug-and-Play=true, Compression Rate (%)=352026.0679.25
ToFuBackbone=DeiT-S, Plug-and-Play=true, Compression Rate (%)=352026.0679.08
S2-FracMixBackbone=Res502026.0678.54
DINOBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0678.2
AdAutoMixBackbone=Res502026.0678.04
AutoMixBackbone=Res502026.0677.91
EC-Dynamic#Params (M)=20.4, #MACs (B)=2.6, MACs (%)=36.62026.0777.6
PuzzleMixBackbone=Res502026.0677.54
ResizeMixBackbone=Res502026.0677.42
ResNet-101#Params (M)=44.6, #MACs (B)=7.9, MACs (%)=-92.72026.0777.4
data2vecBackbone=ViT-L/14, Pre-training Epochs=1600, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0677.3
InceptionV3#Params (M)=27.2, #MACs (B)=5.8, MACs (%)=-41.52026.0777.3
EC-DIC#Params (M)=25.9, #MACs (B)=4.2, MACs (%)=-2.42026.0777.2
FMixBackbone=Res502026.0677.19
CutMixBackbone=Res502026.0677.17
SaliencyMixBackbone=Res502026.0677.14
MixUpBackbone=Res502026.0677.12
DenseNet-161#Params (M)=28.7, #MACs (B)=7.9, MACs (%)=-92.72026.0777.1
VISRegBackbone=ViT-L/14, Pre-training Epochs=400, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.0677
VanillaBackbone=Res502026.0676.83
EC-Dynamic#Params (M)=17.1, #MACs (B)=2.1, MACs (%)=48.82026.0776.8
MoCoV3Backbone=ViT-B/16, Pre-training Epochs=300, Training Heuristics=w/ heuristics, Linear Probe Training Epochs=102026.0676.7
VanillaBackbone=ViT-B2026.0676.7
VIOLIN# Param.=22M, Evaluation Protocol=Linear, Training Epochs=300, Base Model=DINO-S2026.0676.4
EC-DIC#Params (M)=25.9, #MACs (B)=3.1, MACs (%)=24.42026.0776.3
EC-Static#Params (M)=15.4, #MACs (B)=2.4, MACs (%)=41.52026.0776.3
DINO-S# Param.=22M, Evaluation Protocol=Linear, Training Epochs=3002026.0676.1
ResNet-50#Params (M)=25.6, #MACs (B)=4.1, MACs (%)=0.02026.0776
EC-Dynamic#Params (M)=15.1, #MACs (B)=1.8, MACs (%)=56.12026.0775.9
VISRegBackbone=ViT-B/16, Pre-training Epochs=400, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.0675.7
LeJEPA*Backbone=ViT-L/14, Pre-training Epochs=100, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=1002026.0675.6
VISRegBackbone=ViT-L/14, Pre-training Epochs=100, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=1002026.0675.6
DenseNet-169#Params (M)=14.2, #MACs (B)=3.4, MACs (%)=17.12026.0775.6
EC-Static#Params (M)=13.5, #MACs (B)=1.8, MACs (%)=56.12026.0775.6
S2-FracMixBackbone=Res342026.0675.34
MAEBackbone=ViT-L/16, Pre-training Epochs=1600, Training Heuristics=w/o heuristics, Linear Probe Training Epochs=102026.0675.1
EC-DIC#Params (M)=25.9, #MACs (B)=1.9, MACs (%)=53.72026.0774.9
AdAutoMixBackbone=Res342026.0674.82
GPKANModel=ViT-T/16, Parameters=5.7M, FLOPs=1.13G2025.0274.6
VIOLIN# Param.=22M, Evaluation Protocol=Linear, Training Epochs=100, Base Model=DINO-S2026.0674.6
DenseNet-121#Params (M)=8.0, #MACs (B)=2.9, MACs (%)=29.32026.0774.6
AutoMixBackbone=Res342026.0674.52
PuzzleMixBackbone=Res342026.0674.26
FMixBackbone=Res342026.0674.08
DINO-S# Param.=22M, Evaluation Protocol=Linear, Training Epochs=1002026.0674