SOTAVerified

Instrument Recognition

Papers

Showing 1120 of 39 papers

TitleStatusHype
WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity0
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio ModelsCode2
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data0
Transfer Learning and Bias Correction with Pre-trained Audio EmbeddingsCode1
Audio Embeddings as Teachers for Music ClassificationCode1
Surgical Phase and Instrument Recognition: How to identify appropriate Dataset SplitsCode0
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level TasksCode1
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training0
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable UseCode1
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications0
Show:102550
← PrevPage 2 of 4Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPAccuracy80.6Unverified
2M2D2 AS+Accuracy79.7Unverified
3M2D ASAccuracy78.7Unverified
4MATPAC (SSL, linear eval)Accuracy74.6Unverified
5melspectAccuracy72.1Unverified
6EfficientLEAFAccuracy71.7Unverified
7LEAFAccuracy69.2Unverified
#ModelMetricClaimedVerifiedStatus
1DyMN-Lmean average precision0.86Unverified
2MATPAC (SSL Model, linear eval)mean average precision0.85Unverified
3EAsT-KD + PaSSTmean average precision0.85Unverified
4EAsT-Final + PaSSTmean average precision0.85Unverified
5PaSSTmean average precision0.84Unverified
#ModelMetricClaimedVerifiedStatus
1SVMF1-score0.81Unverified