Classification on VTUAD
97.88AccuracyResNet38
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet38Model Type=Teacher Model, # Parameters=72.7M2025.01 | 97.88 | |
| CNN14Model Type=Teacher Model, # Parameters=79.7M2025.01 | 96.91 | |
| MobileNetV1Model Type=Teacher Model, # Parameters=4.3M2025.01 | 95.53 | |
| HuBERTModel Type=Teacher Model, # Parameters=95.7M2025.01 | 95.18 | |
| Wav2Vec 2.0Model Type=Teacher Model, # Parameters=95.0M2025.01 | 94.22 | |
| WhisperModel Type=Teacher Model, # Parameters=74.0M2025.01 | 93.35 | |
| HLTDNNModel Type=Student Model, # Parameters=11.3K2025.01 | 80.49 |