Papers › TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
Yuqi Liu, Pengfei Xiong, Luhui Xu, Shengming Cao, Qin Jin
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.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Video Retrieval | MSR-VTT-1kA | TS2-Net | text-to-video R@1 | 54.0 | #9 of 63 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT-1kA | TS2-Net | text-to-video R@10 | 87.4 | #9 of 63 | Archive leaderboard | report |
| Video Retrieval | MSR-VTT-1kA | TS2-Net | text-to-video R@5 | 79.3 | #9 of 63 | Archive leaderboard | report |
| Video Retrieval | VATEX | TS2-Net | text-to-video R@1 | 59.1 | #10 of 13 | Archive leaderboard | report |
| Video Retrieval | VATEX | TS2-Net | text-to-video R@10 | 95.2 | #10 of 13 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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