Command Palette
Search for a command to run...
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
| Paper Title | ||
|---|---|---|
| DyMN-L | 0.855 | Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models |
| EAsT-KD + PaSST | .852 | Audio Embeddings as Teachers for Music Classification |
| EAsT-Final + PaSST | .847 | Audio Embeddings as Teachers for Music Classification |
| PaSST | 0.843 | Efficient Training of Audio Transformers with Patchout |
0 of 4 row(s) selected.