Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards
Table 6. Comparison between unpaired English image captioning and supervised English image captioning with different number of training pairs from MSCOCO dataset.
['[BOLD] Approach', '[BOLD] # Imgs', '[BOLD] # Caps', '[BOLD] B@4', '[BOLD] Meteor', '[BOLD] CIDEr']
Comparison with paired target image captioning. We can see that the number of paired image-caption data is critical for the supervised image captioning model. Without sufficient pairs, the captioning performance drops significantly. Our model, however, relies on no supervised image-caption pairs, but achieves performance comparable to the supervised mono-lingual captioning model with 4,000 pairs.