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

Computer VisionSafetensors

This model addresses the 'object expansion' issue when using inpainting diffusion models to generate backgrounds for salient objects, capable of preserving object identity while generating backgrounds.

Computer VisionDiffusers

BBS-Net is a deep learning model for RGB-D salient object detection, employing a bifurcated backbone strategy network architecture that effectively processes RGB and depth image data.

Computer VisionTransformers

A closed-book QA model based on the T5 architecture, pre-trained with denoising and salient span masking objectives, suitable for QA tasks without external knowledge sources.

Natural Language ProcessingTransformersEnglish