# Bilateral reference network

BiRefNet is an advanced model for high-resolution binary image segmentation, particularly adept at background removal and mask generation tasks.

BiRefNet is a deep learning model for high-resolution binary image segmentation, capable of precisely separating foreground objects from the background.

BiRefNet is a deep learning model for high-resolution binary image segmentation, achieving precise image segmentation through a bilateral reference mechanism.

BiRefNet is a high-resolution binary image segmentation model based on bilateral reference, specifically designed for background removal and mask generation tasks.

High-resolution binary image segmentation model based on bilateral reference, focusing on salient object detection and background removal tasks

BiRefNet is a deep learning model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.

BiRefNet is a deep learning model for high-resolution binary image segmentation, which achieves accurate image segmentation through a bilateral reference network.

BiRefNet is a deep learning model for high-resolution binary image segmentation, particularly skilled in background removal and mask generation.