Audio Classification On Fsd50K
المقاييس
mAP
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
| Paper Title | ||
|---|---|---|
| ONE-PEACE | 69.7 | ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities |
| MN | 65.6 | Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models |
| PaSST-S | 65.55 | Efficient Training of Audio Transformers with Patchout |
| DyMN-L | 65.5 | Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models |
| PaSST-N-S | 64.2 | Efficient Training of Audio Transformers with Patchout |
| PSLA | 56.71 | PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation |
| Temporal Knowledge Distillation for On-device Audio Classification | 54.8 | Temporal Knowledge Distillation for On-device Audio Classification |
| Large 6-Layer Transformer with Pooling | 53.7 | Audio Transformers |
| LHGNN | - | LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging |
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