Clue: Cross-modal Coherence Modeling for Caption Generation
Table 3: The F1 scores of the multi-class classification methods described in Section 4.1; 80-20 train-test split; 5-fold cross validation.
['[EMPTY]', 'Visible', 'Subjective', 'Action', 'Story', 'Meta', 'Irrelevant', 'Weighted']
S4SS1SSS0Px3 Results The BERT+ResNet model achieves the highest performance (|t|>9.54, p<0.01), with an overall F1 score of 0.67.