Graph Optimal Transport for Cross-Domain Alignment
Table 4: Results of image captioning on the COCO dataset.
['Method', 'CIDEr', 'BLEU-4', 'BLUE-3', 'BLEU-2', 'BLEU-1', 'ROUGE', 'METEOR']
Image Captioning We conduct experiments on image captioning using the same COCO dataset. The text decoder is one-layer LSTM with 256 hidden units. The word embedding dimension is set to 256. A similar performance gain is introduced by GOT. The relative performance boost from WD to GOT over CIDEr score is: GOT−WDWD−MLE=109.2−107.9107.9−106.3=81.25%. This attributes to the additional GWD introduced in GOT that can help model implicit intra-domain relationships in images and captions, leading to more accurate caption generation.