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Audio Classification on FSD50k

46.3ScoreEnsemble (Submission)
4.715.526.337.1Jan 22, 2026Feb 16, 2026Mar 14, 2026Apr 9, 2026May 4, 2026May 30, 2026Jun 25, 2026

Evaluation results

MethodLinks
Ensemble (Submission)Ensemble Strategy=Embedding Concatenation2026.0146.3——
Dasheng 1.2BParameter Count=1.2B2026.0145.5——
BEATs (300M) SpeechParameter Count=300M, Pre-training Mixture=Speech-heavy (70:15:15)2026.0143.2——
Challenge BaselineDescription=Best among Dasheng-base, data2vec, and Whisper2026.0140.8——
BEATs (300M) BalancedParameter Count=300M, Pre-training Mixture=Balanced (40:30:30)2026.0138——
WQ-FusionEncoder Type=Fusion2026.0629.5——
Concat.Encoder Type=Fusion2026.0629.3——
Gated Trans.Encoder Type=Fusion2026.0627.8——
Adapt. and Trans.Encoder Type=Fusion2026.0625.8——
Qwen2-Audio-7BEncoder Type=Single2026.0625.2——
BEATs (90M) iter3Parameter Count=90M, Iteration=32026.0121.7——
Whisper-LargeEncoder Type=Single2026.0617.3——
AudioMAEEncoder Type=Single2026.0614.3——
Dasheng-BaseEncoder Type=Single2026.066.3——
Audio Flamingo2024.02—69.7—
CAV-MAE-Scale++training_mode=fine-tuning2024.03——45.5
Deshmukh et al., 20232024.02—65.6—
EquiAVtraining_mode=fine-tuning2024.03——62.6
F3-TokenizerProbing=Frozen representation2026.06——32.1
Ming-UProbing=Frozen representation2026.06——24.83
No repr.Probing=Frozen representation2026.06——2.6
w/o LLMProbing=Frozen representation2026.06——28.7
w/o RQProbing=Frozen representation2026.06——21.2
WhisperProbing=Frozen representation2026.06——26.2
XKDtraining_mode=fine-tuning2024.03——58.5