Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning

Author:

Zheng Minghang1,Huang Yanjie1,Chen Qingchao2,Peng Yuxin1,Liu Yang1

Affiliation:

1. Wangxuan Institute of Computer Technology, Peking University

2. National Institute of Health Data Science, Peking University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference41 articles.

1. Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining

2. Cas-caded prediction network via segment tree for temporal video grounding;zhao;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2021

3. Visual co-occurrence alignment learning for weakly-supervised video moment retrieval;wang;MM '21 ACM Multime-dia Conference Virtual Event China October 20 – 24 2021,2021

4. Weakly supervised temporal adjacent network for language grounding;wang;IEEE Transactions on Multimedia,2021

5. Structured Multi-Level Interaction Network for Video Moment Localization via Language Query

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1. Contrastive Perturbation Network for Weakly Supervised Temporal Sentence Grounding;Pattern Recognition and Computer Vision;2023-12-24

2. Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Dynamic Contrastive Learning with Pseudo-samples Intervention for Weakly Supervised Joint Video MR and HD;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Joint Searching and Grounding: Multi-Granularity Video Content Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Partial Annotation-based Video Moment Retrieval via Iterative Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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