List your company

Image Classification on CIFAR-100 (Standard Accuracy)

94.2AccuracyUpper Bound
68.106474.880781.65588.4293Nov 7, 2020Sep 24, 2021Aug 12, 2022Jun 30, 2023May 16, 2024Apr 3, 2025Feb 19, 2026

Evaluation results

MethodLinks
Upper Bound# Params=86M2026.0294.2—————————
Share# Params=0.10M2026.0294.2————0.4————
DAP# Params=0.19M2026.0294.05————0.41————
AdamBackbone=ViT-L, Fine-tuning protocol=Full Fine-tuning2026.0291.7—————————
CrossViT-18Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.0391.36—————————
AdamBackbone=ViT-B, Fine-tuning protocol=Full Fine-tuning2026.0291.2—————————
DeiT-SPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.0390.89—————————
DeiT-BPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.0390.8—————————
CrossViT-15Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.0390.77—————————
LoRABackbone=ViT-L, Fine-tuning protocol=LoRA2026.0290.6—————————
LaDP-FLPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0189.4——256,943——————
EASE# Params=0.28M2026.0287.81————0.52————
LoRABackbone=ViT-B, Fine-tuning protocol=LoRA2026.0286.4—————————
CODA-P# Params=0.42M2026.0286.25————1.16————
AdapLDPPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0186.12——265,376——————
DualPrompt# Params=0.35M2026.0284.77————1.4————
DPA LDPPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0183.57——254,003——————
L2P# Params=86M2026.0283.05————2.12————
LaDP-FLPrivacy Budget (epsilon)=0.2, Backbone=ResNet-1522026.0182.44——257,104——————
CTSNArchitecture=ResNet19, T=42026.0181.19—————————
LlipPre-training Data=2.5B, Model Architecture=ViT-B/32, Zero-shot=true2024.1280.8—————————
OpenCLIPPre-training Data=DataComp-1B, Model Architecture=ViT-B/32, Zero-shot=true2024.1280.4—————————
SoftMatchBag Size=162024.1180.14—————————
Fully SupervisedFully Supervised=true2024.1179.89—————————
CLIFArchitecture=ResNet18, T=42026.0179.69—————————
Ternary SpikeArchitecture=ResNet19, T=42026.0179.68—————————
L2P-AHILBag Size=162024.1178.65—————————
RMP-LossArchitecture=ResNet19, T=42026.0178.28—————————
ASGLArchitecture=ResNet18, T=42026.0177.74—————————
MetaCLIPPre-training Data=2.5B, Model Architecture=ViT-B/32, Zero-shot=true2024.1277.7—————————
Time-Varying DPPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0177.59——243,434——————
GLIFArchitecture=ResNet18, T=62026.0177.35—————————
L2P-AHILBag Size=322024.1177.3—————————
LinGeoPEBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1277.2———0.1—————
GeoPEBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1276.8———0.15—————
L2P-AHILBag Size=642024.1176.52—————————
LieREBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1276.4———0.14—————
STRINGBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1276———0.16—————
HexFormer-HybridArchitecture=ViT-Tiny, Pre-training=None2026.0175.85—————————
OpenCLIPPre-training Data=LAION-2B, Model Architecture=ViT-B/32, Zero-shot=true2024.1275.8—————————
HexFormerArchitecture=ViT-Tiny, Pre-training=None2026.0175.65—————————
RoPE-MixedBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1275.6———0.18—————
AdapLDPPrivacy Budget (epsilon)=0.2, Backbone=ResNet-1522026.0175.31——263,998——————
CTSNArchitecture=ResNet20, T=62026.0175.12—————————
CPEBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1275.1———0.2—————
CTSNArchitecture=ResNet20, T=42026.0174.82—————————
Sensitive DPPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0174.81——247,759——————
LinGeoPEBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1274.8———0.13—————
Euclidean ViTArchitecture=ViT-Tiny, Pre-training=None2026.0174.64—————————
RPBBackbone=Swin-S, Resolution=32x32, Training=from scratch, Window size=42025.1274.5———0.22—————
TETArchitecture=ResNet19, T=42026.0174.47—————————
GeoPEBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1274.4———0.15—————
Ternary SpikeArchitecture=ResNet20, T=62026.0174.12—————————
Nested StrategyCorruption=15% GN2026.0274.1—————————
LinGeoPEBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273.9———0.11—————
LieREBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273.9———0.17—————
LLP-VATBag Size=162024.1173.85—————————
Nested StrategyCorruption=Gaussian Blur2026.0273.8—————————
GeoPEBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273.5———0.12—————
STRINGBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273.5———0.19—————
LieREBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273.1———0.15—————
RoPE-MixedBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1273———0.2—————
ROTBag Size=162024.1172.74—————————
STRINGBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1272.6———0.18—————
ZO-MuonBackbone=ViT-B, Fine-tuning protocol=Full Fine-tuning2026.0272.6—————————
Mixed Barlow TwinsBackbone=ResNet-50, Epochs=2000, Evaluation Protocol=linear2023.1272.51—————————
CPEBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1272.4———0.24—————
ZO-MuonBackbone=ViT-L, Fine-tuning protocol=Full Fine-tuning2026.0272.4—————————
Full DPPrivacy Budget (epsilon)=0.5, Backbone=ResNet-1522026.0172.33——239,407——————
RoPE-MixedBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1272.3———0.19—————
L2P-AHILBag Size=1282024.1172.21—————————
CLIPEvaluation protocol=Zero-shot2024.0772.19—————————
DPA LDPPrivacy Budget (epsilon)=0.2, Backbone=ResNet-1522026.0172.05——254,731——————
Mixed Barlow TwinsBackbone=ResNet-50, Epochs=1000, Evaluation Protocol=linear2023.1271.98—————————
Nested StrategyCorruption=30% GN2026.0271.9—————————
CPEBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1271.8———0.21—————
LLP-VATBag Size=322024.1171.62—————————
IOTAShot=16-shot, Backbone=ViT-B/162026.0171.37—————————
DLLPBag Size=162024.1171.28—————————
APEBackbone=ViT-Base, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1271.2———0.28—————
COSMOSPre-training Data=Merged-30M, Model Architecture=ViT-B/32, Zero-shot=true2024.1270.8—————————
Parallel StrategyCorruption=15% GN2026.0270.7—————————
NOVIC (FT9)Evaluation protocol=Zero-shot, Frequency Threshold=92024.0770.65—————————
APEBackbone=ViT-Small, Resolution=32x32, Training=from scratch, Patch size=4, Epochs=4002025.1270.5———0.25—————
Alternating StrategyCorruption=15% GN2026.0270.5—————————
CentralizedLocation=Client, Split Layer=Layer-52025.1270.49—————————
Peer LossNoise=Random (0.2)2020.1170.43—————————
Total Variation divergenceNoise=Random (0.2)2020.1170.4—————————
Jensen-Shannon divergenceNoise=Random (0.2)2020.1170.28—————————
CentralizedLocation=Server, Split Layer=Layer-52025.1270.03—————————
NOVIC (FT6)Evaluation protocol=Zero-shot, Frequency Threshold=62024.0769.93—————————
DLLPBag Size=322024.1169.92—————————
Alternating StrategyCorruption=Gaussian Blur2026.0269.7—————————
BYOLBackbone=ResNet-50, Epochs=1000, Evaluation Protocol=linear2023.1269.59—————————
NOVIC (FT2)Evaluation protocol=Zero-shot, Frequency Threshold=22024.0769.43—————————
ROTBag Size=322024.1169.31—————————
DreamLIPPre-training Data=Merged-30M, Model Architecture=ViT-B/32, Zero-shot=true2024.1269.2—————————
Total Variation divergenceNoise=Uniform2020.1169.15—————————
Jensen-Shannon divergenceNoise=Uniform2020.1169.13—————————
LViTArchitecture=ViT-Base, Pre-training=None2026.0169.11—————————