research
The Fusion Model Learned Which Sensor Should Lead
Prompt-guided infrared-visible fusion won 14 of 20 reported quality metrics across five benchmarks.
Summary
Prompt-guided infrared-visible fusion won 14 of 20 reported quality metrics across five benchmarks.
P2Fusion distills modality-specific priors and uses progressive expert routing to mediate thermal and texture competition. Object detection improved by up to 3.2 mAP points on the reported downstream tests; the result is benchmark evidence, not a universal perception guarantee.
Why it matters
Prompt-guided infrared-visible fusion won 14 of 20 reported quality metrics across five benchmarks.
Limits and context
- Object detection improved by up to 3.2 mAP points on the reported downstream tests; the result is benchmark evidence, not a universal perception guarantee.
Key claims
Prompt-guided infrared-visible fusion won 14 of 20 reported quality metrics across five benchmarks.
Qualification: Object detection improved by up to 3.2 mAP points on the reported downstream tests; the result is benchmark evidence, not a universal perception guarantee.
Evidence: source-2026-08-14-017
Sources
- arXiv preprint 2608.13045arXiv · primary research
Corrections
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