Table 10 Performance comparison on the independent testing dataset.

From: Attention-enhanced and integrated deep learning approach for fishing vessel classification based on multiple features

Methods

Accuracy

Precision

Recall

F1_score

Yan et al.18

0.8320

0.8329

0.8320

0.8296

Luo et al.8

0.8400

0.8520

0.8400

0.8320

Huang et al.4

0.8492

0.8553

0.8492

0.8483

BiLSTM-CNN-attention

0.9190

0.9222

0.9190

0.9196

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