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TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

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Computer Vision – ECCV 2022 (ECCV 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13674))

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Abstract

Text-Video retrieval is a task of great practical value and has received increasing attention, among which learning spatial-temporal video representation is one of the research hotspots. The video encoders in the state-of-the-art video retrieval models usually directly adopt the pre-trained vision backbones with the network structure fixed, they therefore can not be further improved to produce the fine-grained spatial-temporal video representation. In this paper, we propose Token Shift and Selection Network (TS2-Net), a novel token shift and selection transformer architecture, which dynamically adjusts the token sequence and selects informative tokens in both temporal and spatial dimensions from input video samples. The token shift module temporally shifts the whole token features back-and-forth across adjacent frames, to preserve the complete token representation and capture subtle movements. Then the token selection module selects tokens that contribute most to local spatial semantics. Based on thorough experiments, the proposed TS2-Net achieves state-of-the-art performance on major text-video retrieval benchmarks, including new records on MSRVTT, VATEX, LSMDC, ActivityNet, and DiDeMo. Code is available at https://github.com/yuqi657/ts2_net.

Y. Liu—This work is done when Yuqi is an intern at Tencent.

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Acknowledgement

This work was partially supported by National Key R &D Program of China (No. 2020AAA0108600) and National Natural Science Foundation of China (No. 62072462).

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Authors and Affiliations

  1. School of Information, Renmin University of China, Beijing, China

    Yuqi Liu & Qin Jin

  2. Tencent, Shenzhen, China

    Yuqi Liu, Pengfei Xiong, Luhui Xu & Shengming Cao

Authors
  1. Yuqi Liu
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  2. Pengfei Xiong
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  3. Luhui Xu
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  4. Shengming Cao
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  5. Qin Jin
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Corresponding author

Correspondence to Qin Jin .

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Editors and Affiliations

  1. Tel Aviv University, Tel Aviv, Israel

    Shai Avidan

  2. University College London, London, UK

    Gabriel Brostow

  3. Google AI, Accra, Ghana

    Moustapha Cissé

  4. University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Facebook (United States), Menlo Park, CA, USA

    Tal Hassner

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Liu, Y., Xiong, P., Xu, L., Cao, S., Jin, Q. (2022). TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, vol 13674. Springer, Cham. https://doi.org/10.1007/978-3-031-19781-9_19

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  • DOI: https://doi.org/10.1007/978-3-031-19781-9_19

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