TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Table 7: XML results on TVR val set, with different video features. All models use both videos and subtitles. We show top scores in each column in bold.
['Model', 'IoU=0.7', 'IoU=0.7', 'IoU=0.7', 'IoU=0.7']
We tested XML model with different visual features. The model that uses both static appearance features (ResNet) and action features (I3D) performs better than using only one of the features, demonstrating the importance of recognizing both the objects and the actions in the TVR task.