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Few Shot Audio Classification On Esc 50

Metrics

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

Results

Performance results of various models on this benchmark

Paper TitleRepository
Meta-Curvature (CRNN)76.17 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark
MAML (CRNN) 74.66 ± 0.42MetaAudio: A Few-Shot Audio Classification Benchmark
Meta-Baseline (CRNN)71.72 +- 0.38MetaAudio: A Few-Shot Audio Classification Benchmark
MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)69.53±0.39MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Prototypical Networks (CRNN)68.83 +- 0.38MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (CRNN)68.82 +-0.39MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)64.48 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark
SimCLR (FSD50K, RN18)63.40±0.39MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
SimpleShot CL2N (AST ImageNet - No fine-tune)60.41 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark
Multi-Label Augmentation Prediction (FSD50K, RN18)37.76±0.34MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
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Few Shot Audio Classification On Esc 50 | SOTA | HyperAI