Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Table 7: Video captioning results on VATEX dataset.
['Model', 'B@4', 'M', 'R', 'C']
We see that the performance of Transformer strongly exceeds that of VATEX, which adopts an LSTM-based architecture. Our Transformer+NSA method consistently improves over Transformer on all metrics. Particularly, our method improves the CIDEr score by 3.7 points when compared to Transformer, and significantly improves the CIDEr score by 11.4 points when compared to VATEX baseline.