GLCE-Net: global-local feature collaborative enhancement network for underwater images toward object detection
A global-local feature collaborative underwater image enhancement network that adopts a three-branch collaborative architecture to model local structural details, cross-color channel dependencies, and global contextual information, enabling joint optimization of global consistency and local discriminability is proposed...