Semi-supervised salient object detection via boundary-aware fusion and dynamic pseudo label optimization
Semi-supervised learning has shown great potential in salient object detection (SOD) by reducing the reliance on pixel-level annotations. However, existing methods still face challenges in pseudo label generation and feature fusion. Feature fusion in the decoding stage often lacks explicit boundary modeling, leading to...