Yiteng Guo

RHCNet: Residual-Guided Hierarchical Calibration Network for Robust Underwater Object Detection

Underwater images commonly suffer from foreground-background ambiguity, loss of structural details, and severely reduced contrast, which collectively make underwater object detection (UOD) an inherently challenging task. To handle this issue, we present a residual-guided hierarchical calibration net