TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Table 11: Captioning Results on TVC test-public set.
['Model', 'B@4', 'METEOR', 'Rouge-L', 'CIDEr-D']
We first compare MMT models with different input modalities. Across all metrics, the model with both videos and subtitles performs better than the models with only one of them. Which shows both videos and subtitles are important for describing the moments. Next, we compare models with different visual features. Models with both appearance features (ResNet) and motion feature (I3D) performs better than only using one of them.