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Bridging Search Region Interaction With Template for RGB-T Tracking

CVPR 2023 · Vision-language and multimodal › Cross-modal learning · approach: Unimodal-to-multimodal representation transfer · 147 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ViT-Base with SOT pretraining and TBSI instead of mfDiMPRGB-T tracking · LasHeR testing setPrecision: 59.9 -> 69.2Helped
Use TBSI instead of mfDiMPRGB-T tracking · RGBT234Precision: 84.2 -> 87.1Helped
Use TBSI instead of mfDiMP*RGB-T tracking · RGBT210Success: 59.3 -> 62.5Helped
Add TIR image pairs to RGB-only input (ablation)ViT-Base tracker · LasHeRSuccess: 40.1 -> 42.5Helped
Add direct bidirectional RGB-T search-region interaction without template bridging (ablation)RGB-T Baseline · LasHeRSuccess: 42.5 -> 47.4Helped
Add template-mediated bridging for cross-modal search-region interaction (ablation)Direct RGB-T search-region interaction · LasHeRSuccess: 47.4 -> 50.6Helped
Add RGB-to-template-medium-to-TIR interaction (ablation)Unidirectional TBSI · LasHeRSuccess: 46.6 -> 50.6Helped
Add updating original templates with enriched multimodal contexts (ablation)Bidirectional TBSI · LasHeRSuccess: 49.7 -> 50.6Helped
Insert TBSI at the 4-th layer (ablation)ViT-Base RGB-T tracker · LasHeRSuccess: 42.5 -> 47.8Helped
Add a TBSI insertion at the 7-th layer (ablation)TBSI at layer 4 · LasHeRSuccess: 47.8 -> 49.8Helped
Add a TBSI insertion at the 10-th layer (ablation)TBSI at layers 4 and 7 · LasHeRSuccess: 49.8 -> 50.6Helped

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