Image Classification on CIFAR-10 (Accuracy Focus)
98AccuracyImageNet-1k
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ImageNet-1kModel=ViT-T, Type=SL2023.03 | 98 | — | |
| ImageNet-1kModel=ViT-T, Type=SSL (DINO)2023.03 | 97.7 | — | |
| VisualAtom-21kModel=ViT-B, Type=FDSL2023.03 | 97.7 | — | |
| VisualAtom-1kModel=ViT-T, Type=FDSL2023.03 | 97.6 | — | |
| PASSModel=ViT-T, Type=SSL (DINO)2023.03 | 97.5 | — | |
| ExFractalDB-1kModel=ViT-T, Type=FDSL2023.03 | 97.2 | — | |
| RCDB-1kModel=ViT-T, Type=FDSL2023.03 | 97 | — | |
| FractalDB-1kModel=ViT-T, Type=FDSL2023.03 | 96.8 | — | |
| RCDB-21kModel=ViT-B, Type=FDSL2023.03 | 96.8 | — | |
| OursBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 96.1 | — | |
| Whole DatasetBackbone=ResNet-182026.03 | 96.1 | — | |
| RCAPBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 95.9 | — | |
| Whole DatasetBackbone=ResNet-502026.03 | 95.8 | — | |
| D^2Backbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 95.7 | — | |
| FRONTBackbone=ResNet-1522026.03 | 95.7 | — | |
| Original CLIPZero-shot=true2026.03 | 95.6 | — | |
| DCRZero-shot=true2026.03 | 95.6 | — | |
| InfoBatchBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 95.6 | — | |
| OursBackbone=ResNet-50, Selection Ratio=70%, Type=Dynamic2026.03 | 95.6 | — | |
| FRONTBackbone=ResNet-502026.03 | 95.6 | — | |
| Random InitializationBackbone=ResNet-1522026.03 | 95.6 | — | |
| HD-LIFArchitecture=ResNet-18, Param.(MB)=2.82, Type=Online Training, Time-steps=42024.10 | 95.59 | — | |
| CLIPBackbone=ResNet-50, Selection Ratio=70%, Type=Static2026.03 | 95.4 | — | |
| RS2 w/rBackbone=ResNet-50, Selection Ratio=70%, Type=Dynamic2026.03 | 95.4 | — | |
| KViT-B# Parameters=85,152,022, FLOPs=3.77G2026.02 | 95.35 | — | |
| GraNd-4Backbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 95.3 | — | |
| MoSoBackbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 95.3 | — | |
| UCBBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 95.3 | — | |
| RS2 w/rBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 95.3 | — | |
| OursBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 95.3 | — | |
| MoDSBackbone=ResNet-50, Selection Ratio=70%, Type=Static2026.03 | 95.3 | — | |
| RS2 w/oBackbone=ResNet-50, Selection Ratio=70%, Type=Dynamic2026.03 | 95.3 | — | |
| TuneCLIPBase Model=SigLIP ViT-B/162026.01 | 95.2 | — | |
| KViT-S# Parameters=21,342,358, FLOPs=0.97G2026.02 | 95.2 | — | |
| ε-greedyBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 95.2 | — | |
| RCAPBackbone=ResNet-50, Selection Ratio=70%, Type=Dynamic2026.03 | 95.2 | — | |
| RandomBackbone=ResNet-50, Selection Ratio=70%, Type=Static2026.03 | 95 | — | |
| Self-sup.Backbone=ResNet-50, Selection Ratio=70%, Type=Static2026.03 | 95 | — | |
| DPBackbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 94.9 | — | |
| RS2 w/oBackbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 94.9 | — | |
| GLIFArchitecture=ResNet-18, Param.(MB)=44.66, Type=STBP Training, Time-steps=62024.10 | 94.88 | — | |
| Random*Backbone=ResNet-18, Selection Ratio=70%, Type=Dynamic2026.03 | 94.8 | — | |
| Random InitializationBackbone=ResNet-502026.03 | 94.8 | — | |
| InfoBatchBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 94.7 | — | |
| GLIFArchitecture=ResNet-18, Param.(MB)=44.66, Type=STBP Training, Time-steps=42024.10 | 94.67 | — | |
| RandomBackbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 94.6 | — | |
| OursBackbone=ResNet-50, Selection Ratio=30%, Type=Dynamic2026.03 | 94.5 | — | |
| CleanModel=ResNet-182026.03 | 94.45 | — | |
| TETArchitecture=ResNet-19, Param.(MB)=50.48, Type=STBP Training, Time-steps=42024.10 | 94.44 | — | |
| SLTTArchitecture=ResNet-18, Param.(MB)=44.66, Type=Online Training, Time-steps=62024.10 | 94.44 | — | |
| TuneCLIPBase Model=OpenAI ViT-B/162026.01 | 94.4 | — | |
| RCAPBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 94.4 | — | |
| RCAPBackbone=ResNet-50, Selection Ratio=30%, Type=Dynamic2026.03 | 94.4 | — | |
| TuneCLIPBase Model=LAION ViT-B/322026.01 | 94.22 | — | |
| RS2 w/rBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 94.2 | — | |
| OpenCLIPBase Model=LAION ViT-B/322026.01 | 94.13 | — | |
| ε-greedyBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 94.1 | — | |
| RS2 w/oBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 94.1 | — | |
| RS2 w/rBackbone=ResNet-50, Selection Ratio=30%, Type=Dynamic2026.03 | 94 | — | |
| MoDSBackbone=ResNet-18, Selection Ratio=70%, Type=Static2026.03 | 93.9 | — | |
| UCBBackbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 93.9 | — | |
| KViT-T# Parameters=5,362,774, FLOPs=0.25G2026.02 | 93.81 | — | |
| DspikeArchitecture=ResNet-18, Param.(MB)=44.66, Type=STBP Training, Time-steps=42024.10 | 93.66 | — | |
| TuneCLIPBase Model=OpenAI ViT-B/322026.01 | 93.63 | — | |
| BaselineBase Model=LAION ViT-B/322026.01 | 93.58 | — | |
| ViT-S# Parameters=21,342,346, FLOPs=1.43G2026.02 | 93.33 | — | |
| D^2Backbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 93.3 | — | |
| RS2 w/oBackbone=ResNet-50, Selection Ratio=30%, Type=Dynamic2026.03 | 93.1 | — | |
| Random*Backbone=ResNet-18, Selection Ratio=30%, Type=Dynamic2026.03 | 93 | — | |
| STBP-tdBNArchitecture=ResNet-19, Param.(MB)=50.48, Type=STBP Training, Time-steps=42024.10 | 92.92 | — | |
| OpenCLIPBase Model=OpenAI ViT-B/162026.01 | 92.76 | — | |
| StableRepPre-training dataset=RedCaps, Pre-training data source=Syn, Evaluation protocol=Few-shot2023.06 | 92.7 | — | |
| FastCLIPBase Model=OpenAI ViT-B/162026.01 | 92.67 | — | |
| ViT-B# Parameters=85,152,010, FLOPs=5.61G2026.02 | 92.45 | — | |
| FastCLIPBase Model=LAION ViT-B/322026.01 | 92.38 | — | |
| BaselineBase Model=SigLIP ViT-B/162026.01 | 92.34 | — | |
| StableRepPre-training Data Source=Synthetic, Evaluation Protocol=5-way, 5-shot2023.06 | 92.3 | — | |
| StableRepPre-training dataset=CC12M, Pre-training data source=Syn, Evaluation protocol=Few-shot2023.06 | 92.3 | — | |
| OpenCLIPBase Model=OpenAI ViT-B/322026.01 | 91.75 | — | |
| GraNd-4Backbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 91.2 | — | |
| MoSoBackbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 91.1 | — | |
| MoDSBackbone=ResNet-50, Selection Ratio=30%, Type=Static2026.03 | 91.1 | — | |
| CLIPBackbone=ResNet-50, Selection Ratio=30%, Type=Static2026.03 | 91.1 | — | |
| DPBackbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 90.8 | — | |
| BaselineBase Model=OpenAI ViT-B/162026.01 | 90.77 | — | |
| ViT-T# Parameters=5,362,762, FLOPs=0.37G2026.02 | 90.75 | — | |
| FastBUSNlabels=8002026.02 | 90.7 | — | |
| MoDSBackbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 90.6 | — | |
| MixMatchNlabels=8002026.02 | 90.56 | — | |
| FastCLIPBase Model=OpenAI ViT-B/322026.01 | 90.54 | — | |
| RandomBackbone=ResNet-50, Selection Ratio=30%, Type=Static2026.03 | 90.3 | — | |
| RandomBackbone=ResNet-18, Selection Ratio=30%, Type=Static2026.03 | 90.2 | — | |
| Self-sup.Backbone=ResNet-50, Selection Ratio=30%, Type=Static2026.03 | 90.1 | — | |
| BaselineBase Model=OpenAI ViT-B/322026.01 | 89.83 | — | |
| FastBUSNlabels=2502026.02 | 87.27 | — | |
| MixMatchNlabels=2502026.02 | 86.44 | — | |
| INFER(D) + DiReIPC=50, Backbone=ResNet-18, Evaluation Protocol=Knowledge Distillation2025.12 | 85.1 | — | |
| OpenCLIPBase Model=SigLIP ViT-B/162026.01 | 85.06 | — | |
| Whole Dataset2026.03 | 84.8 | — | |
| FastCLIPBase Model=SigLIP ViT-B/162026.01 | 83.66 | — |