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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 2: AAAI-22 Technical Tracks 2

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding

February 1, 2023

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Authors

Daizong Liu

Huazhong University of Science and Technology


Xiaoye Qu

Huazhong University of Science and Technology


Xing Di

Protagolabs Inc.


Yu Cheng

Microsoft Research


Zichuan Xu

Dalian University of Technology


Pan Zhou

Huazhong University of Science and Technology


DOI:

10.1609/aaai.v36i2.20058


Abstract:

Temporal sentence grounding (TSG) is crucial and fundamental for video understanding. Although existing methods train well-designed deep networks with large amount of data, we find that they can easily forget the rarely appeared cases during training due to the off-balance data distribution, which influences the model generalization and leads to unsatisfactory performance. To tackle this issue, we propose a memory-augmented network, called Memory-Guided Semantic Learning Network (MGSL-Net), that learns and memorizes the rarely appeared content in TSG task. Specifically, our proposed model consists of three main parts: cross-modal interaction module, memory augmentation module, and heterogeneous attention module. We first align the given video-query pair by a cross-modal graph convolutional network, and then utilize memory module to record the cross-modal shared semantic features in the domain-specific persistent memory. During training, the memory slots are dynamically associated with both common and rare cases, alleviating the forgetting issue. In testing, the rare cases can thus be enhanced by retrieving the stored memories, leading to better generalization. At last, the heterogeneous attention module is utilized to integrate the enhanced multi-modal features in both video and query domains. Experimental results on three benchmarks show the superiority of our method on both effectiveness and efficiency, which substantially improves the accuracy not only on the entire dataset but also on the rare cases.

Topics: AAAI

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HOW TO CITE:

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou Memory-Guided Semantic Learning Network for Temporal Sentence Grounding Proceedings of the AAAI Conference on Artificial Intelligence (2022) 1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou Memory-Guided Semantic Learning Network for Temporal Sentence Grounding AAAI 2022, 1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou (2022). Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. Proceedings of the AAAI Conference on Artificial Intelligence, 1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. 2022. Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. "Proceedings of the AAAI Conference on Artificial Intelligence". 1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. (2022) "Memory-Guided Semantic Learning Network for Temporal Sentence Grounding", Proceedings of the AAAI Conference on Artificial Intelligence, p.1665-1673

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou, "Memory-Guided Semantic Learning Network for Temporal Sentence Grounding", AAAI, p.1665-1673, 2022.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. "Memory-Guided Semantic Learning Network for Temporal Sentence Grounding". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. "Memory-Guided Semantic Learning Network for Temporal Sentence Grounding". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 1665-1673.

Daizong Liu||Xiaoye Qu||Xing Di||Yu Cheng||Zichuan Xu||Pan Zhou. Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. AAAI[Internet]. 2022[cited 2023]; 1665-1673.


ISSN: 2374-3468


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