Learning Sample Importance for Cross-Scenario Video Temporal Grounding-Reference-Cited by-同舟云学术

Learning Sample Importance for Cross-Scenario Video Temporal Grounding

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
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Author:

Bao Peijun¹,Mu Yadong¹

Affiliation:

1. Peking University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531403

Reference32 articles.

1. Lisa Anne Hendricks Oliver Wang Eli Shechtman Josef Sivic Trevor Darrell and Bryan Russell. 2017. Localizing moments in video with natural language. In ICCV. Lisa Anne Hendricks Oliver Wang Eli Shechtman Josef Sivic Trevor Darrell and Bryan Russell. 2017. Localizing moments in video with natural language. In ICCV.

2. Peijun Bao Qian Zheng and Yadong Mu. 2021. Dense Events Grounding in Video. In AAAI. Peijun Bao Qian Zheng and Yadong Mu. 2021. Dense Events Grounding in Video. In AAAI.

3. Remi Cadene , Corentin Dancette , Matthieu Cord , Devi Parikh , 2019 . Rubi: Reducing unimodal biases for visual question answering. In NeurIPS. Remi Cadene, Corentin Dancette, Matthieu Cord, Devi Parikh, et al. 2019. Rubi: Reducing unimodal biases for visual question answering. In NeurIPS.

4. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR. Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR.

5. Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu and Yueting Zhuang. 2020. Counterfactual Samples Synthesizing for Robust Visual Question Answering. (2020). Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu and Yueting Zhuang. 2020. Counterfactual Samples Synthesizing for Robust Visual Question Answering. (2020).

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