# Color-Bias-Aware Fusion

Underwater cultural heritage detection has lacked dedicated annotated data, and RGB imagery suffers color shift and weakened boundaries from selective absorption and scattering. The new WRF dataset gathers 4,732 images from the Gulf of Mexico, the Black Sea and the Mediterranean, with 17,059 annotated instances across 21 artifact and ship-component categories plus depth maps estimated by Depth Anything V2. UCH-Net extracts appearance and geometry through dual RGB and depth streams and modulates color features by local color bias, reaching 77.5% mAP and 88.0% mAP75 on WRF and 66.0% mAP on RUOD.

Underwater cultural heritage detection has lacked dedicated annotated data, and RGB imagery suffers color shift and weakened boundaries from selective absorption and scattering. The new WRF dataset gathers 4,732 images from the Gulf of Mexico, the Black Sea and the Mediterranean, with 17,059 annotated instances across 21 artifact and ship-component categories plus depth maps estimated by Depth Anything V2. UCH-Net extracts appearance and geometry through dual RGB and depth streams and modulates color features by local color bias, reaching 77.5% mAP and 88.0% mAP75 on WRF and 66.0% mAP on RUOD.