Table 2 Comparison scores of our method and other state-of-the-art methods on the RSICD.
From: Feature refinement and rethinking attention for remote sensing image captioning
Methods | BLEU1 | BLEU2 | BLEU3 | BLEU4 | METEOR | ROUGE_L | CIDEr |
|---|---|---|---|---|---|---|---|
SAT | 0.6707 | 0.5438 | 0.4550 | 0.3870 | 0.3203 | 0.5724 | 2.4686 |
SM-Att | 0.6699 | 0.5523 | 0.4703 | 0.4068 | 0.3255 | 0.5802 | 2.5738 |
Struc-Att | 0.7016 | 0.5614 | 0.4648 | 0.3934 | 0.3291 | 0.5706 | 1.7031 |
MLCA-Net | 0.7570 | 0.6340 | 0.5390 | 0.4610 | 0.3510 | 0.6460 | 2.3560 |
MC-Net | 0.7280 | 0.6060 | 0.5110 | 0.4330 | 0.3600 | 0.6410 | 2.4540 |
VRTMM | 0.7813 | 0.6721 | 0.5645 | 0.5123 | 0.3737 | 0.6713 | 2.7150 |
GLCM | 0.7767 | 0.6492 | 0.5642 | 0.4937 | 0.3627 | 0.6769 | 2.5491 |
P-to-H | 0.7581 | 0.6416 | 0.5585 | 0.4923 | 0.3550 | 0.6523 | 2.5814 |
DiffNet | 0.7858 | 0.6807 | 0.5928 | 0.5202 | 0.3947 | 0.7018 | 2.9074 |
Ours | 0.7836 | 0.6679 | 0.5774 | 0.5042 | 0.3672 | 0.6730 | 2.8436 |