# Unified Multi-task Framework

A large-scale Mask2Former model based on the Swin backbone network, designed for general image segmentation tasks, unifying instance segmentation, semantic segmentation, and panoptic segmentation.

A compact Mask2Former model based on Swin backbone network, optimized for panoptic segmentation tasks on the Cityscapes dataset

A small-scale version of Mask2Former based on Swin backbone network, optimized for panoptic segmentation tasks on the COCO dataset

A large-scale version of Mask2Former based on the Swin backbone network, specifically trained for panoptic segmentation tasks on the COCO dataset

KE-T5 is a text-to-text transformation model based on the T5 architecture, developed by the Korea Electronics Technology Institute, supporting various NLP tasks.