Fine-grained species classification on Weeds Species196 16-shot (test)
87.7AccuracyFew-shot FT + POC
Evaluation results
| Method | Links | |
|---|---|---|
| Few-shot FT + POCstrategy=finetuning, variant=POC, shots=162025.12 | 87.7 | |
| Few-shot LP + POCstrategy=linear probing, variant=POC, shots=162025.12 | 85.2 | |
| CLAP + POCstrategy=linear probing, variant=POC, shots=162025.12 | 85 | |
| CrossModal LP + POCstrategy=linear probing, variant=POC, shots=162025.12 | 84.3 | |
| CoOp + POCstrategy=prompt learning, variant=POC, shots=162025.12 | 83.7 | |
| FineR + POCstrategy=non-learned, variant=POC, shots=162025.12 | 82.4 | |
| CLIP-Adapter + POCstrategy=adapter learning, variant=POC, shots=162025.12 | 82 | |
| Few-shot FTstrategy=finetuning, variant=expert, shots=162025.12 | 80.7 | |
| CLAPstrategy=linear probing, variant=expert, shots=162025.12 | 76.9 | |
| CrossModal LPstrategy=linear probing, variant=expert, shots=162025.12 | 75.1 | |
| Tip-Adapter + POCstrategy=adapter learning, variant=POC, shots=162025.12 | 71.7 | |
| CoOpstrategy=prompt learning, variant=expert, shots=162025.12 | 69.9 | |
| Few-shot LPstrategy=linear probing, variant=expert, shots=162025.12 | 69.7 | |
| CLIP-Adapterstrategy=adapter learning, variant=expert, shots=162025.12 | 68.4 | |
| FineRstrategy=non-learned, variant=expert, shots=162025.12 | 65 | |
| MaPLe + POCstrategy=prompt learning, variant=POC, shots=162025.12 | 60.6 | |
| Tip-Adapterstrategy=adapter learning, variant=expert, shots=162025.12 | 53.1 | |
| MaPLestrategy=prompt learning, variant=expert, shots=162025.12 | 41.5 |