Audio Classification on Beijing-Opera (test)
1AccuracyLinear Probing
Evaluation results
| Method | Links | |
|---|---|---|
| Linear ProbingTraining Approach=Training-based, Shots=16, Backbone=PENGI2026.02 | 1 | |
| MUKATraining Approach=Training-free, Shots=16, Backbone=PENGI2026.02 | 0.983 | |
| CoCoOpTraining Approach=Training-based, Shots=16, Context Tokens=16, Backbone=PENGI2026.02 | 0.9774 | |
| CoOpTraining Approach=Training-based, Shots=16, Context Tokens=16, Backbone=PENGI2026.02 | 0.9534 | |
| PaLMTraining Approach=Training-based, Shots=16, Backbone=PENGI2026.02 | 0.9533 | |
| Treff-AdapterTraining Approach=Training-free, Shots=16, Backbone=PENGI2026.02 | 0.8964 | |
| Zero-ShotTraining Approach=Training-free, Shots=0, Backbone=PENGI2026.02 | 0.2881 |