Underwater Acoustic Target Recognition on DeepShip
82.7OAUATR-GTransformer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UATR-GTransformer2025.12 | 82.7 | 82.4 | 76.8 | 82.6 | |
| CMoE2025.12 | 81.2 | 80.5 | 74.7 | 80.8 | |
| UATR-Transformer2025.12 | 81.1 | 80.6 | 74.6 | 80.8 | |
| ResNet-182025.12 | 80.2 | 79.6 | 73.4 | 79.9 | |
| Xception2025.12 | 80.1 | 79.6 | 73.2 | 79.8 | |
| DenseNet-1692025.12 | 79.9 | 79.2 | 73 | 79.5 | |
| EfficientNet-B02025.12 | 79.5 | 79.3 | 72.5 | 79.3 | |
| STM2025.12 | 74.4 | 73.7 | 65.6 | 73.9 | |
| Student + MobileNetV1Teacher Model=MobileNetV1, # Parameters (Student vs. Teacher)=12.3K vs. 4.3M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 67.48 | — | — | — | |
| Student + WhisperTeacher Model=Whisper, # Parameters (Student vs. Teacher)=12.3K vs. 74.0M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 66.78 | — | — | — | |
| Student + HuBERTTeacher Model=HuBERT, # Parameters (Student vs. Teacher)=12.3K vs. 95.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 66.37 | — | — | — | |
| Student + CNN14Teacher Model=CNN14, # Parameters (Student vs. Teacher)=12.3K vs. 79.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 65.76 | — | — | — | |
| Student + ResNet38Teacher Model=ResNet38, # Parameters (Student vs. Teacher)=12.3K vs. 72.7M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 65.72 | — | — | — | |
| Student + Wav2Vec 2.0Teacher Model=Wav2Vec 2.0, # Parameters (Student vs. Teacher)=12.3K vs. 95.0M, Adaptation Strategy=Full teacher fine-tuning2025.01 | 64.87 | — | — | — | |
| MbNet-V22025.12 | 63 | 63.8 | 50.9 | 62.8 | |
| Student Only# Parameters=11.3K2025.01 | 59.62 | — | — | — |