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Dynamic scale position embedding for cross-modal representation learning

delete2025-09-08
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PRE
AI
J
Jungkyoo Shin
S
Sungmin Kang
Y
Yoon-Sik Cho
E
Eunwoo Kim *
DOI:10.1016/j.neunet.2025.108087delete
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Abstract

Abstract

En 中文
• We propose a position-based method for dynamic temporal scaling. • We design a single-encoder multi-scale temporal model. • We achieve consistent gains on 4 datasets in video retrieval and video captioning.
Keywords:
Multi-modal learning
Position embedding
Representation learning

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
8.3K
Citations:
3.0W

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No organization information available
Cited Papers

Cited Papers

End-to-End Dense Video Captioning with Masked Transformer
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errLuowei Zhou; Yingbo Zhou; Jason J. Corso; Richard Socher; Caiming Xiong
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Text-Video Retrieval via Multi-Modal Hypergraph Networks
err2024-03-04
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PREAI
errQian Li; Lixin Su; Jiashu Zhao; Long Xia; Hengyi Cai; Suqi Cheng; Hengzhu Tang; Junfeng Wang; Dawei Yin
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TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
err2022-10-23
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PREAI
errYuqi Liu; Pengfei Xiong; Luhui Xu; Shengming Cao; Qin Jin
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