Video Captioning with Guidance of Multimodal Latent Topics
Table 5. Caption performance comparison of different topic prediction losses.
['dataset', 'loss', 'BLEU4', 'METEOR', 'ROUGE [ITALIC] l', 'CIDEr']
Topic Loss Selection : We compare the caption performance using l2-distance or KL-divergence as Ltopic in the TGM model. The l2-distance consistently surpasses the KL-divergence across datasets and metrics. So unless otherwise specified, we use l2-distance as the topic prediction loss.