VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems (2022.naacl-main)
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| Challenge: | Neural module networks (NMN) have been used in image-grounded tasks such as Visual Question Answering (VQA) however, very limited work on NMN has been studied in the video-ground dialogue tasks. |
| Approach: | They propose to use video as the grounding feature in video-grounded dialogues to model the information retrieval process in videogrounded language tasks as a pipeline of neural modules. |
| Outcome: | The proposed model can achieve promising performance on video-grounded dialogue and QA benchmarks. |
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