Video Object Grounding using Semantic Roles in Language Description
Table 4: Comparing models trained with GT5 and P100. All models are tested in P100 setting.
['Model', 'Train', 'SVSQ Acc', 'SVSQ SAcc', 'SEP Acc', 'SEP VAcc', 'SEP SAcc', 'TEMP Acc', 'TEMP VAcc', 'TEMP Cons', 'TEMP SAcc', 'SPAT Acc', 'SPAT VAcc', 'SPAT Cons', 'SPAT SAcc']
GT5 models in P100 setting: While testing in P100, for TEMP and SPAT, we set the threshold for models trained in GT5 as 0.5 which is higher than the threshold used when testing in GT5 (0.2). This is expected as a lower threshold would imply a higher chance of a false positive.