TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Table 12: Feature ablation on TVC val set. All the models use both videos and subtitles.
['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.