OpenCodePapers

few-shot-audio-classification-on

Meta-LearningFew-Shot LearningFew-Shot Audio Classification
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
PaperCodeTop-1 Accuracy(5-Way-1-Shot)ModelNameReleaseDate
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link43.45 +- 0.46MAML (CRNN)2022-04-05
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link43.18 +- 0.45Meta-Curvature (CRNN)2022-04-05
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link42.05 +- 0.42SimpleShot CL2N (CRNN)2022-04-05
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link40.27 +- 0.44Meta-Baseline (CRNN)2022-04-05
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link39.44 +- 0.44Prototypical Networks (CRNN)2022-04-05
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations✓ Link39.11±0.41MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)2023-05-29
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link38.78 +- 0.41SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)2022-04-05
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations✓ Link37.64±0.40SimCLR (FSD50K, RN18)2023-05-29
MetaAudio: A Few-Shot Audio Classification Benchmark✓ Link33.52 +- 0.39SimpleShot CL2N (AST ImageNet - No fine-tune)2022-04-05
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations✓ Link21.72±0.34Multi-Label Augmentation Prediction (FSD50K, RN18)2023-05-29