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Image Classification on ImageNet-1k 1.0 (val) (Top-1 and Top-5 Accuracy)

81.2Top-1 AccDeRy(50, 10)-FT
18.1094434.4887250.86867.24728Oct 24, 2022May 16, 2023Dec 7, 2023Jun 28, 2024Jan 19, 2025Aug 11, 2025Mar 4, 2026

Evaluation results

MethodLinks
DeRy(50, 10)-FTParams (M)=40.41, FLOPs (G)=6.43, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.1081.295.6
ELABackbone=DeiT-S2025.038195.8
Swin-SParams (M)=49.61, FLOPs (G)=8.52, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.1080.895.7
MRLA-LBackbone=DeiT-S2025.0380.795.3
ResNet-50Backbone=ResNet-50, Context=Comparison with DeiT-S tier2025.0379.995
DeRy(30, 6)-FTParams (M)=24.89, FLOPs (G)=4.47, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.1079.694.8
ResNet-101Params (M)=44.55, FLOPs (G)=7.85, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.107994.5
MRLA-LBackbone=PVTv2-B12025.0378.994.9
ELABackbone=PVTv2-B12025.0378.994.7
Swin-TParams (M)=28.29, FLOPs (G)=4.36, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.1078.394.6
ResNet-50Backbone=ResNet-50, Context=Comparison with PVTv2-B1 tier2025.0378.394.3
ResNet-50Params (M)=25.56, FLOPs (G)=4.12, Training Epochs=100, Training Protocol=FULL-TUNING, Resolution=224x2242022.1076.893.3
MoCo-v3 + SERView=2+4 view, Protocol=Fine-tune2026.0375.0292.12
MoCo-v3 + E-SSLView=2+4 view, Protocol=Fine-tune2026.037592.36
MoCo-v3 + SERView=2 view, Protocol=Fine-tune2026.0374.3391.79
MoCo-v3 + EquiModView=3 view, Protocol=Fine-tune2026.0374.0891.75
MoCo-v3 + STLView=2 view, Protocol=Fine-tune2026.0373.991.49
MoCo-v3View=2 view, Protocol=Fine-tune2026.0373.8391.91
MoCo-v3 + AugSelfView=2 view, Protocol=Fine-tune2026.0373.591.67
ELABackbone=DeiT-Ti2025.0373.492.1
MRLA-LBackbone=DeiT-Ti2025.037391.7
ResNet-50Backbone=ResNet-50, Context=Comparison with DeiT-Ti tier2025.0372.691.1
MoCo-v3 + SERView=2+4 view, Protocol=MLP2026.0370.9989.72
ELABackbone=PVTv2-B02025.0370.890.3
Hybrid Π-NetsImage Size=224x224, # par (M)=11.962023.0370.7489.548
MRLA-LBackbone=PVTv2-B02025.0370.690
R-PolyNetsImage Size=224x224, # par (M)=12.382023.0370.22889.39
D-PolyNetsImage Size=224x224, # par (M)=11.362023.0370.0989.424
ResNet-50Backbone=ResNet-50, Context=Comparison with PVTv2-B0 tier2025.037089.7
ResNet18Image Size=224x224, # par (M)=11.692023.0369.75889.078
MoCo-v3 + E-SSLView=2+4 view, Protocol=MLP2026.0368.4588.31
MoCo-v3 + EquiModView=3 view, Protocol=MLP2026.0368.3388.5
MoCo-v3 + SERView=2 view, Protocol=MLP2026.0368.0488.37
MoCo-v3View=2 view, Protocol=MLP2026.0367.8488.37
MoCo-v3 + STLView=2 view, Protocol=MLP2026.0365.7486.32
MoCo-v3 + SERView=2+4 view, Protocol=20-NN2026.0365.32—
Π-NetsImage Size=224x224, # par (M)=12.382023.0365.2885.958
MoCo-v3 + E-SSLView=2+4 view, Protocol=20-NN2026.0364.56—
MoCo-v3 + AugSelfView=2 view, Protocol=MLP2026.0363.2485.86
MoCo-v3 + SERView=2 view, Protocol=20-NN2026.0361.64—
MoCo-v3View=2 view, Protocol=20-NN2026.0361.56—
MoCo-v3 + AugSelfView=2 view, Protocol=20-NN2026.0360.63—
MoCo-v3 + EquiModView=3 view, Protocol=20-NN2026.0358.28—
MoCo-v3 + STLView=2 view, Protocol=20-NN2026.0357.34—
ResNet18 without activationsImage Size=224x224, # par (M)=11.692023.0320.53639.986