Huiling Jiang

Multi-scale global-local collaborative learning for accurate significant object detection

This work proposes MSGAN, a multi-scale global-local collaborative learning framework that integrates multi-scale mixed convolution and adaptive global-local attention to enhance feature representation and advances robust SOD for complex real-world scenarios and provides insights into attention-guided visual perception...