STFPD: Vision–Language Guided Tri-Modal Fusion for Trust-Worthy Pedestrian Detection
STFPD, a novel interpretable semantic-target fusion strategy via vision-language self-supervision designed for multispectral pedestrian detection, is proposed, which introduces a tri-modal feature fusion methodology that integrates complementary evidence from RGB images, thermal signals, and text.