Instrument Recognition On Openmic 2018
평가 지표
mean average precision
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | mean average precision | Paper Title | Repository |
|---|---|---|---|
| EAsT-KD + PaSST | .852 | Audio Embeddings as Teachers for Music Classification | - |
| PaSST | 0.843 | Efficient Training of Audio Transformers with Patchout | - |
| EAsT-Final + PaSST | .847 | Audio Embeddings as Teachers for Music Classification | - |
| DyMN-L | 0.855 | Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models | - |
0 of 4 row(s) selected.