Image Classification on Tiny-ImageNet (Top-1 Accuracy)
90.6Top-1 AccuracyMTA
Evaluation Results
| Method | Links | |
|---|---|---|
| MTAMethod Category=Training-free TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 90.6 | |
| ZEROMethod Category=Training-free TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 90.6 | |
| C-TPTMethod Category=Prompt-based TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 90.5 | |
| PromptAlignMethod Category=Prompt-based TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 90 | |
| TDAMethod Category=Training-free TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 90 | |
| TPTMethod Category=Prompt-based TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 89.5 | |
| O-TPTMethod Category=Prompt-based TTA, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 89.3 | |
| CoOpMethod Category=Prompt Learning, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 89.2 | |
| MaPLeMethod Category=Prompt Learning, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 89 | |
| CLIPMethod Category=Pre-trained, Backbone=ViT-B/16, Pre-training=MaPLe2025.12 | 87.6 | |
| DeepAFLalpha (α)=0.1, T (Number of layers)=202026.02 | 62.35 | |
| DeepAFLalpha (α)=0.05, T (Number of layers)=202026.02 | 62.35 | |
| DeepAFLalpha (α)=0.1, T (Number of layers)=102026.02 | 61.37 | |
| DeepAFLalpha (α)=0.05, T (Number of layers)=102026.02 | 61.37 | |
| DeepAFLalpha (α)=0.1, T (Number of layers)=52026.02 | 60.31 | |
| DeepAFLalpha (α)=0.05, T (Number of layers)=52026.02 | 60.31 | |
| FedAWAalpha (α)=0.12026.02 | 59.07 | |
| D4M+EVLFIPC=502026.03 | 58.5 | |
| RDEDIPC=502026.03 | 58.2 | |
| D4MIPC=502026.03 | 55.8 | |
| AFLalpha (α)=0.12026.02 | 54.67 | |
| AFLalpha (α)=0.052026.02 | 54.67 | |
| FedAWAalpha (α)=0.052026.02 | 52.33 | |
| ViT-SOM-cls# Params=5.4M2025.03 | 50.2 | |
| Swin-T# Params=27.5M2025.03 | 50.1 | |
| FIPAData Distribution=alpha = 0.6, Performance Type=Max within 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 50.06 | |
| DeiT-T# Params=28.9M2025.03 | 49.9 | |
| FIPAData Distribution=alpha = 0.6, Performance Type=Average over first 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 49.86 | |
| ViT-cls (reproduce)# Params=5.4M2025.03 | 49.6 | |
| FedAvgData Distribution=alpha = 0.6, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 49.53 | |
| FedProxData Distribution=alpha = 0.6, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 49.53 | |
| FedRCLData Distribution=alpha = 0.6, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 49.35 | |
| D4M+EVLFIPC=102026.03 | 49.2 | |
| FedProxData Distribution=alpha = 0.6, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 49.08 | |
| FedAvgData Distribution=alpha = 0.6, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 49.07 | |
| FedRCLData Distribution=alpha = 0.6, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 49.04 | |
| FIPAData Distribution=IID, Performance Type=Max within 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 49.03 | |
| FedProxData Distribution=IID, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 49 | |
| FedAvgData Distribution=IID, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 48.94 | |
| FIPAData Distribution=alpha = 0.3, Performance Type=Max within 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 48.94 | |
| FIPAData Distribution=IID, Performance Type=Average over first 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 48.92 | |
| FIPAData Distribution=alpha = 0.3, Performance Type=Average over first 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 48.76 | |
| FedRCLData Distribution=IID, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 48.72 | |
| FedProxData Distribution=IID, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 48.68 | |
| FedAvgData Distribution=IID, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 48.61 | |
| FedRCLData Distribution=IID, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 48.44 | |
| FedProxData Distribution=alpha = 0.3, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 48.1 | |
| FedRCLData Distribution=alpha = 0.3, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 48.1 | |
| FedAvgData Distribution=alpha = 0.3, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 48 | |
| FedProxData Distribution=alpha = 0.3, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 47.75 | |
| FedAvgData Distribution=alpha = 0.3, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 47.66 | |
| FedRCLData Distribution=alpha = 0.3, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 47.62 | |
| ResNet34# Params=21.8M2025.03 | 46.8 | |
| FIPAData Distribution=alpha = 0.1, Performance Type=Max within 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 45.41 | |
| MobileViT-T# Params=4.9M2025.03 | 45.2 | |
| FIPAData Distribution=alpha = 0.1, Performance Type=Average over first 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 44.73 | |
| FedProxData Distribution=alpha = 0.1, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 43.9 | |
| FedAvgData Distribution=alpha = 0.1, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 43.68 | |
| FedRCLData Distribution=alpha = 0.1, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 43.55 | |
| FedProxData Distribution=alpha = 0.1, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 43.23 | |
| FedRCLData Distribution=alpha = 0.1, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 43.03 | |
| FedAvgData Distribution=alpha = 0.1, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 42.99 | |
| D4MIPC=102026.03 | 42.5 | |
| RDEDIPC=102026.03 | 41.9 | |
| SRe2LIPC=502026.03 | 41.1 | |
| FIPAData Distribution=alpha = 0.05, Performance Type=Max within 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 39.86 | |
| FedLPAalpha (α)=0.12026.02 | 39.48 | |
| FIPAData Distribution=alpha = 0.05, Performance Type=Average over first 100 rounds, Backbone=ResNet-18, Updated Layers=FC layers only2026.01 | 38.74 | |
| FedRCLData Distribution=alpha = 0.05, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 37.5 | |
| FedProxData Distribution=alpha = 0.05, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 37.47 | |
| FedAvgData Distribution=alpha = 0.05, Performance Type=Max within 100 rounds, Backbone=ResNet-182026.01 | 37.38 | |
| FedProxData Distribution=alpha = 0.05, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 36.85 | |
| FedAvgData Distribution=alpha = 0.05, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 36.67 | |
| FedRCLData Distribution=alpha = 0.05, Performance Type=Average over first 100 rounds, Backbone=ResNet-182026.01 | 36.61 | |
| FedLPAalpha (α)=0.052026.02 | 26.67 | |
| SRe2LIPC=102026.03 | 16.1 |