The MSR-Video to Text dataset with clean annotations

Author:

Chen Haoran,Li Jianmin,Frintrop Simone,Hu XiaolinORCID

Funder

National Natural Science Foundation of China

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., Zhang, L., 2018. Bottom-up and top-down attention for image captioning and visual question answering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR. pp. 6077–6086.

2. Banerjee, S., Lavie, A., 2005. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In: Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization. pp. 65–72.

3. Chen, H., Li, J., Hu, X., 2020a. Delving Deeper into the Decoder for Video Captioning. In: ECAI 2020 - 24th European Conference on Artificial Intelligence. 325, pp. 1079–1086.

4. A semantics-assisted video captioning model trained with scheduled sampling;Chen;Front. Robotics AI,2020

5. Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y., 2014. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP. pp. 1724–1734.

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