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Few Shot Audio Classification On

评估指标

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

评测结果

各个模型在此基准测试上的表现结果

模型名称
Top-1 Accuracy(5-Way-1-Shot)
Paper TitleRepository
MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)39.11±0.41MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
SimCLR (FSD50K, RN18)37.64±0.40MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Multi-Label Augmentation Prediction (FSD50K, RN18)21.72±0.34MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Meta-Baseline (CRNN)40.27 +- 0.44MetaAudio: A Few-Shot Audio Classification Benchmark
MAML (CRNN)43.45 +- 0.46MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (AST ImageNet & AudioSet- No fine-tune)38.78 +- 0.41MetaAudio: A Few-Shot Audio Classification Benchmark
Prototypical Networks (CRNN)39.44 +- 0.44MetaAudio: A Few-Shot Audio Classification Benchmark
Meta-Curvature (CRNN)43.18 +- 0.45MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (AST ImageNet - No fine-tune)33.52 +- 0.39MetaAudio: A Few-Shot Audio Classification Benchmark
SimpleShot CL2N (CRNN)42.05 +- 0.42MetaAudio: A Few-Shot Audio Classification Benchmark
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