Instrument Recognition on OpenMIC-2018

Metric: mean average precision (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Hide extra data

Sort:

#	Model↕	mean average precision▼	Extra Data	Paper	Date↕	Code
1	DyMN-L	0.855	Yes	Dynamic Convolutional Neural Networks as Efficie...	2023-10-24	Code
2	MATPAC (SSL Model, linear eval)	0.854	No	Masked Latent Prediction and Classification for ...	2025-02-17	Code
3	EAsT-KD + PaSST	0.852	No	Audio Embeddings as Teachers for Music Classific...	2023-06-30	Code
4	EAsT-Final + PaSST	0.847	No	Audio Embeddings as Teachers for Music Classific...	2023-06-30	Code
5	PaSST	0.843	Yes	Efficient Training of Audio Transformers with Pa...	2021-10-11	Code

#1DyMN-LSOTA
0.855
mean average precision· Extra Data· 2023-10-24
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models Code
#2MATPAC (SSL Model, linear eval)
0.854
mean average precision· 2025-02-17
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning Code
#3EAsT-KD + PaSSTSOTA
0.852
mean average precision· 2023-06-30
Audio Embeddings as Teachers for Music Classification Code
#4EAsT-Final + PaSST
0.847
mean average precision· 2023-06-30
Audio Embeddings as Teachers for Music Classification Code
#5PaSSTSOTA
0.843
mean average precision· Extra Data· 2021-10-11
Efficient Training of Audio Transformers with Patchout Code