Attention Based Natural Language Grounding by Navigating Virtual Environment
Table 3: Comparison of our model with other baseline methods for 3D environment with different difficulties
['Model', 'Easy US', 'Easy ZS', 'Medium US', 'Medium ZS', 'Hard US', 'Hard ZS']
As can be seen from both the table as well as the figure, our model not only converges much faster than the actual baseline but also improves the performance in terms of success rate(both for zero shot instructions and unseen scenario generalization) for 3D environments too. The other proposed fusion mechanisms either work only in the 2D or 3D environment but not in both, whereas our attention based fusion method performs equally good in both the environments.