Papers › Bridging Search Region Interaction With Template for RGB-T Tracking
Bridging Search Region Interaction With Template for RGB-T Tracking
Tianrui Hui, Zizheng Xun, Fengguang Peng, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu
RGB-T tracking aims to leverage the mutual enhancement and complement ability of RGB and TIR modalities for improving the tracking process in various scenarios, where cross-modal interaction is the key component. Some previous methods concatenate the RGB and TIR search region features directly to perform a coarse interaction process with redundant background noises introduced. Many other methods sample candidate boxes from search frames and conduct various fusion approaches on isolated pairs of RGB and TIR boxes, which limits the cross-modal interaction within local regions and brings about inadequate context modeling. To alleviate these limitations, we propose a novel Template-Bridged Search region Interaction (TBSI) module which exploits templates as the medium to bridge the cross-modal interaction between RGB and TIR search regions by gathering and distributing target-relevant object and environment contexts. Original templates are also updated with enriched multimodal contexts from the template medium. Our TBSI module is inserted into a ViT backbone for joint feature extraction, search-template matching, and cross-modal interaction. Extensive experiments on three popular RGB-T tracking benchmarks demonstrate our method achieves new state-of-the-art performances. Code is available at https://github.com/RyanHTR/TBSI.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Rgb-T Tracking | LasHeR | TBSI | Precision | 70.2 | #23 of 39 | Archive leaderboard | report |
| Rgb-T Tracking | LasHeR | TBSI | Success | 56.5 | #23 of 39 | Archive leaderboard | report |
| Rgb-T Tracking | RGBT210 | TBSI | Precision | 85.3 | #12 of 19 | Archive leaderboard | report |
| Rgb-T Tracking | RGBT210 | TBSI | Success | 62.5 | #12 of 19 | Archive leaderboard | report |
| Rgb-T Tracking | RGBT234 | TBSI | Precision | 87.1 | #25 of 42 | Archive leaderboard | report |
| Rgb-T Tracking | RGBT234 | TBSI | Success | 63.7 | #25 of 42 | 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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