Approximate Distribution Matching for Sequence-to-Sequence Learning
Table 2: Experimental results on image captioning task, where we use CIDEr, BLEU4 and METEOR (MET) to measure the system performance.
['[BOLD] Model', '[BOLD] CIDEr', '[BOLD] BLEU', '[BOLD] MET']
These results have consistently demonstrated the advantage of distribution matching algorithm under continuous sequence scenarios, which can be potentially extended to more vision-related sequence-to-sequence tasks.