Papers by Zhuoxin Gan
Semi-Supervised Learning for Video Captioning (2020.findings-emnlp)
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| Challenge: | Existing video captioning algorithms are heavily dependent on supervised training data. |
| Approach: | They propose to train the video captioning model on labeled and unlabeled data jointly in a semi-supervised learning manner. |
| Outcome: | The proposed model outperforms state-of-the-art semi-supervised learning approaches on VATEX, MSR-VTT and MSVD datasets. |