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Few Shot Audio Classification On Birdclef

Metrics

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

Results

Performance results of various models on this benchmark

Model Name
Top-1 Accuracy(5-Way-1-Shot)
Paper TitleRepository
MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)29.49±0.38MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations-
Prototypical Networks (CRNN)56.11 +- 0.46MetaAudio: A Few-Shot Audio Classification Benchmark-
SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)36.41 +- 0.42MetaAudio: A Few-Shot Audio Classification Benchmark-
SimCLR (FSD50K, RN18)30.93±0.38MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations-
SimpleShot Cl2N (CRNN)57.66 +- 0.43MetaAudio: A Few-Shot Audio Classification Benchmark-
SimpleShot CL2N (AST ImageNet - No fine-tune)33.04 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark-
MAML (CRNN)56.26 +- 0.45MetaAudio: A Few-Shot Audio Classification Benchmark-
Multi-Label Augmentation Prediction (FSD50K, RN18)21.04±0.35 MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations-
Meta-Curvature (CRNN)61.34 +- 0.46MetaAudio: A Few-Shot Audio Classification Benchmark-
Meta-Baseline (CRNN)57.28 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark-
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Few Shot Audio Classification On Birdclef | SOTA | HyperAI