Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions (2020.acl-main)
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| Challenge: | Visual referring expression recognition is a task that requires natural language understanding in the context of an image. |
| Approach: | They propose to use contrastive learning and multi-task learning to increase the robustness of ViLBERT, the current state-of-the-art model for this task. |
| Outcome: | The proposed methods are 12% to 23% lower in performance than the established progress for this task. |
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