Scene Graph Parsing as Dependency Parsing
Table 2: The F-scores (i.e. SPICE metric) between scene graphs parsed from region descriptions and ground truth region graphs on the intersection of Visual Genome Krishna et al. (2017) and MS COCO Lin et al. (2014) validation set.
['[BOLD] Parser', '[BOLD] F-score']
We see that our customized dependency parsing model achieves an average F-score of 49.67%, which significantly outperforms the parser used in SPICE by 5 percent. This result shows that our customized dependency parser is very effective at learning from data, and generates more accurate scene graphs than the best previous approach.