Instrument Recognition On Openmic 2018
评估指标
mean average precision
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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.