Instrument Recognition
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | M2D-CLAP | Accuracy | 80.6 | — | Unverified |
| 2 | M2D2 AS+ | Accuracy | 79.7 | — | Unverified |
| 3 | M2D AS | Accuracy | 78.7 | — | Unverified |
| 4 | MATPAC (SSL, linear eval) | Accuracy | 74.6 | — | Unverified |
| 5 | melspect | Accuracy | 72.1 | — | Unverified |
| 6 | EfficientLEAF | Accuracy | 71.7 | — | Unverified |
| 7 | LEAF | Accuracy | 69.2 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | DyMN-L | mean average precision | 0.86 | — | Unverified |
| 2 | MATPAC (SSL Model, linear eval) | mean average precision | 0.85 | — | Unverified |
| 3 | EAsT-KD + PaSST | mean average precision | 0.85 | — | Unverified |
| 4 | EAsT-Final + PaSST | mean average precision | 0.85 | — | Unverified |
| 5 | PaSST | mean average precision | 0.84 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SVM | F1-score | 0.81 | — | Unverified |