Image Classification on CUB200 (Accuracy, Complexity)
91.6AccuracyViT-NeT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ViT-NeTViT=true, no retraining of encoder=true, no training of clf head=false, backbone=ViT with DinoV2 weights2025.12 | 91.6 | — | — | |
| CBM-SuiteBackbone=ResNet18, Selection=Best-performing vision backbone–VLM pair2026.03 | 86.73 | — | — | |
| Full FT.Rank=-, Backbone=ViT-Base2026.06 | 86.35 | — | — | |
| ST-ProtoPNetViT=true, no retraining of encoder=true, no training of clf head=false, backbone=ViT with DinoV2 weights2025.12 | 86.1 | — | — | |
| SDS-LoRARank=8, Backbone=ViT-Base2026.06 | 86.07 | — | — | |
| SDS-LoRARank=32, Backbone=ViT-Base2026.06 | 85.99 | — | — | |
| LoRARank=32, Backbone=ViT-Base2026.06 | 85.75 | — | — | |
| DoRARank=8, Backbone=ViT-Base2026.06 | 85.74 | — | — | |
| LoRA+Rank=32, Backbone=ViT-Base2026.06 | 85.68 | — | — | |
| rsLoRARank=8, Backbone=ViT-Base2026.06 | 85.67 | — | — | |
| DoRARank=32, Backbone=ViT-Base2026.06 | 85.67 | — | — | |
| LoRARank=8, Backbone=ViT-Base2026.06 | 85.65 | — | — | |
| ProtoPoolViT=false, no retraining of encoder=false, no training of clf head=false2025.12 | 85.5 | 202 | — | |
| rsLoRARank=32, Backbone=ViT-Base2026.06 | 85.42 | — | — | |
| LoRA+Rank=8, Backbone=ViT-Base2026.06 | 85.28 | — | — | |
| ProtoS-ViTViT=true, no retraining of encoder=true, no training of clf head=false, backbone=ViT with DinoV2 weights2025.12 | 85.2 | 6 | — | |
| PiSSARank=8, Backbone=ViT-Base2026.06 | 85.17 | — | — | |
| KMExViT=true, no retraining of encoder=true, no training of clf head=true, backbone=ViT with DinoV2 weights2025.12 | 85 | 1 | — | |
| PiSSARank=32, Backbone=ViT-Base2026.06 | 84.9 | — | — | |
| PIP-NetViT=false, no retraining of encoder=false, no training of clf head=false2025.12 | 84.3 | 4 | — | |
| ProtoTreeViT=false, no retraining of encoder=false, no training of clf head=false2025.12 | 82.2 | 8.3 | — | |
| KCCsViT=true, no retraining of encoder=true, no training of clf head=true, backbone=ViT with DinoV2 weights2025.12 | 82.2 | 2.2 | — | |
| LaBoSelection=Best-performing vision backbone–VLM pair2026.03 | 81 | — | — | |
| ProtoPNetViT=false, no retraining of encoder=false, no training of clf head=false2025.12 | 79.2 | 2,000 | — | |
| LFCBMSelection=Best-performing vision backbone–VLM pair2026.03 | 74.31 | — | — | |
| BPBackbone=MobileNetV2, # Layers=42025.09 | 65.86 | 0.01 | 57.42 | |
| BPBackbone=MobileNetV2, # Layers=22025.09 | 64.37 | 0.01 | 30.62 | |
| BPBackbone=ResNet34, # Layers=42025.09 | 64.22 | 0.12 | 49 | |
| BPBackbone=ResNet34, # Layers=22025.09 | 64.1 | 0.06 | 24.5 | |
| LANCEBackbone=ResNet34, # Layers=42025.09 | 63.01 | 0.06 | 0.8 | |
| LANCEBackbone=ResNet34, # Layers=22025.09 | 62.35 | 0.03 | 0.39 | |
| BPBackbone=ResNet18, # Layers=22025.09 | 62.28 | 0.06 | 24.5 | |
| HOSVDBackbone=ResNet34, # Layers=42025.09 | 62.28 | 12.25 | 0.84 | |
| LANCEBackbone=MobileNetV2, # Layers=42025.09 | 61.21 | 0.01 | 0.15 | |
| HOSVDBackbone=ResNet34, # Layers=22025.09 | 60.82 | 6.12 | 0.38 | |
| BPBackbone=ResNet18, # Layers=42025.09 | 60.8 | 0.09 | 61.25 | |
| HOSVDBackbone=MobileNetV2, # Layers=42025.09 | 60.3 | 22.86 | 0.16 | |
| HOSVDBackbone=ResNet18, # Layers=22025.09 | 60.02 | 6.12 | 0.73 | |
| LANCEBackbone=ResNet18, # Layers=22025.09 | 59.87 | 0.03 | 0.73 | |
| LANCEBackbone=ResNet18, # Layers=42025.09 | 59.5 | 0.05 | 1.36 | |
| HOSVDBackbone=ResNet18, # Layers=42025.09 | 59.26 | 15.56 | 1.41 | |
| AXISArchitecture=ViT-B-322025.08 | 59.06 | — | — | |
| ASIBackbone=ResNet34, # Layers=42025.09 | 58.85 | 0.07 | 1.58 | |
| ASIBackbone=ResNet34, # Layers=22025.09 | 58.77 | 0.03 | 0.6 | |
| LANCEBackbone=MobileNetV2, # Layers=22025.09 | 58.18 | 0.01 | 0.14 | |
| HOSVDBackbone=MobileNetV2, # Layers=22025.09 | 58.11 | 11.87 | 0.13 | |
| ASIBackbone=ResNet18, # Layers=22025.09 | 56.77 | 0.04 | 1.51 | |
| aTLASArchitecture=ViT-B-322025.08 | 55.82 | — | — | |
| ASIBackbone=ResNet18, # Layers=42025.09 | 55.73 | 0.07 | 3.5 | |
| ASIBackbone=MobileNetV2, # Layers=42025.09 | 50.69 | 0.06 | 0.63 | |
| ASIBackbone=MobileNetV2, # Layers=22025.09 | 46.44 | 0.01 | 0.26 | |
| BPBackbone=MCUNet, # Layers=42025.09 | 34.13 | 0.001 | 17.57 | |
| BPBackbone=MCUNet, # Layers=22025.09 | 33.05 | 0 | 11.71 | |
| HOSVDBackbone=MCUNet, # Layers=42025.09 | 31.72 | 2.59 | 0.14 | |
| LANCEBackbone=MCUNet, # Layers=22025.09 | 31.44 | 0 | 0.05 | |
| HOSVDBackbone=MCUNet, # Layers=22025.09 | 31.22 | 1.93 | 0.06 | |
| LANCEBackbone=MCUNet, # Layers=42025.09 | 30.87 | 0 | 0.13 |