Few-shot Image Classification on StanfordCars
0.7996AccuracyuDTW
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| uDTWWay=5, Shots=202026.05 | 0.7996 | — | — | |
| sDTWWay=5, Shots=202026.05 | 0.7979 | — | — | |
| PromptSRCPrompting Strategy=Prompt learning without language priors2024.10 | 0.7827 | — | — | |
| AAPEPrompting Strategy=LLM-based2024.10 | 0.7751 | — | — | |
| Full Fine-tuningShots=162023.04 | 0.7691 | — | — | |
| CoOpShots=4, Prompt type=tp2023.03 | 0.7273 | — | — | |
| KgCoOpShots=4, Prompt type=tp2023.03 | 0.7198 | — | — | |
| ProGradShots=4, Prompt type=tp2023.03 | 0.7175 | — | — | |
| uDTWWay=5, Shots=52026.05 | 0.6956 | — | — | |
| CoCoOpShots=4, Prompt type=vp+tp2023.03 | 0.691 | — | — | |
| EuclideanWay=5, Shots=202026.05 | 0.687 | — | — | |
| sDTWWay=5, Shots=52026.05 | 0.6531 | — | — | |
| PVPShots=162023.04 | 0.6109 | — | — | |
| EuclideanWay=5, Shots=52026.05 | 0.5755 | — | — | |
| PsCoWay=5, Shots=202026.05 | 0.575 | — | — | |
| VPTShots=162023.04 | 0.5733 | — | — | |
| Meta-SVEBMWay=5, Shots=202026.05 | 0.4623 | — | — | |
| PsCoWay=5, Shots=52026.05 | 0.4401 | — | — | |
| Full Fine-tuningShots=82023.04 | 0.412 | — | — | |
| PVPShots=82023.04 | 0.4057 | — | — | |
| Meta-GMVAEWay=5, Shots=202026.05 | 0.3836 | — | — | |
| VPTShots=82023.04 | 0.3631 | — | — | |
| Meta-SVEBMWay=5, Shots=52026.05 | 0.3427 | — | — | |
| Meta-GMVAEWay=5, Shots=52026.05 | 0.3139 | — | — | |
| PVPShots=42023.04 | 0.2608 | — | — | |
| Full Fine-tuningShots=42023.04 | 0.2357 | — | — | |
| VPTShots=42023.04 | 0.2062 | — | — | |
| PVPShots=22023.04 | 0.1473 | — | — | |
| PVPShots=12023.04 | 0.1073 | — | — | |
| VPTShots=22023.04 | 0.0864 | — | — | |
| Full Fine-tuningShots=22023.04 | 0.0585 | — | — | |
| VPTShots=12023.04 | 0.052 | — | — | |
| Full Fine-tuningShots=12023.04 | 0.0417 | — | — | |
| BiFRNBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.9044 | 0.9749 | |
| BSFABackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8893 | 0.952 | |
| C2-NetBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8896 | 0.9516 | |
| CTXBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8503 | 0.9263 | |
| DeepBDCBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8228 | 0.9351 | |
| DeepEMDBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8062 | 0.9263 | |
| ESPTBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.882 | 0.9696 | |
| FRNBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8801 | 0.9575 | |
| FRN+TDMBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.888 | 0.9702 | |
| HelixFormerBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.794 | 0.9226 | |
| HMDRNBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.9092 | 0.9756 | |
| LCCRNBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8704 | 0.9619 | |
| MCL-KatzBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8442 | 0.9332 | |
| MCL-Katz+PSMBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8472 | 0.9352 | |
| ProtoNetBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8546 | 0.9508 | |
| RENetBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8523 | 0.9416 | |
| SRNetBackbone=ResNet-12, Ways=5-way2025.06 | — | 0.8404 | 0.9398 |