# Camouflaged object detection

BiRefNet is a bilateral reference framework model for high-resolution binary image segmentation, focusing on tasks such as background removal and mask generation, supporting image processing at resolutions of 2048x2048 and above.

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, focusing on background removal and mask generation tasks.

BiRefNet is a bilateral reference framework 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, 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 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 that employs a bilateral reference framework and delivers excellent performance across multiple image segmentation tasks.

A bilateral reference framework for high-resolution binary image segmentation, focusing on background removal and mask generation tasks

BiRefNet is a high-resolution binary image segmentation model that employs a bilateral reference framework and demonstrates excellent performance across multiple image segmentation tasks.

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