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Efficient RGB-T Tracking via Cross-Modality Distillation

CVPR 2023 · Vision-language and multimodal › Cross-modal learning · approach: Multi-modality image fusion · 110 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add SCFD to the compact student (ablation)Student RGB-T tracker · RGBT234PR: 78.1 -> 80.3Helped
Add SCFD to the compact student (ablation)Student RGB-T tracker · RGBT234SR: 56.0 -> 57.4Helped
Add MPSD after SCFD (ablation)Student RGB-T tracker · RGBT234PR: 80.3 -> 82.2Helped
Add MPSD after SCFD (ablation)Student RGB-T tracker · RGBT234SR: 57.4 -> 58.3Helped
Add HFRD after SCFD and MPSD (ablation)Student RGB-T tracker · RGBT234PR: 82.2 -> 82.4Helped
Add HFRD after SCFD and MPSD (ablation)Student RGB-T tracker · RGBT234SR: 58.3 -> 58.4Helped
Use SCFD instead of simple addition, SEM-only, or CEM-only feature distillation (ablation)Student RGB-T tracker · RGBT234PR: 78.7, 79.2, 79.6, 80.3Helped
Replace MPSD with spatial attention fusion (ablation)Student + SCFD · RGBT234PR: 81.9 vs 82.2Hurt
Replace MPSD with channel attention fusion (ablation)Student + SCFD · RGBT234PR: 81.1 vs 82.2Hurt
Use the teacher's fusion strategy in every student layer instead of MPSD (ablation)Student + SCFD · RGBT234PR: 82.2 -> 82.6Helped
Distill with CMD rather than KD, FitNets, ReviewKD, or MD (ablation)Single-stream ResNet18 student · RGBT234PR: 78.4, 79.3, 80.5, 80.0 -> 82.4Helped
Distill a compact single-stream tracker rather than using it without distillationResNet18 student · LasHeRPR: 55.4 -> 59.0Helped

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