Few Shot Audio Classification On Esc 50

Métriques

Top-1 Accuracy(5-Way-1-Shot)

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
Meta-Curvature (CRNN)	76.17 +- 0.41	MetaAudio: A Few-Shot Audio Classification Benchmark
MAML (CRNN)	74.66 ± 0.42	MetaAudio: A Few-Shot Audio Classification Benchmark
Meta-Baseline (CRNN)	71.72 +- 0.38	MetaAudio: A Few-Shot Audio Classification Benchmark
MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)	69.53±0.39	MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Prototypical Networks (CRNN)	68.83 +- 0.38	MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (CRNN)	68.82 +-0.39	MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)	64.48 +- 0.41	MetaAudio: A Few-Shot Audio Classification Benchmark
SimCLR (FSD50K, RN18)	63.40±0.39	MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
SimpleShot CL2N (AST ImageNet - No fine-tune)	60.41 +- 0.41	MetaAudio: A Few-Shot Audio Classification Benchmark
Multi-Label Augmentation Prediction (FSD50K, RN18)	37.76±0.34	MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations

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