# High-precision Segmentation

PyTorch-based DeepLabV3Plus image segmentation model supporting efficient semantic segmentation tasks

HiMTok is a hierarchical mask token learning framework fine-tuned on the InternVL2_5-8B large multimodal model, focusing on image segmentation tasks.

Breast cancer segmentation model based on Segment Anything Model (SAM), used for tumor region identification in medical imaging

Image classification model based on SegFormer architecture, fine-tuned on imagefolder dataset with 87.5% accuracy

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.

A line-level document understanding model fine-tuned based on LiLT and DocLayNet dataset, supporting multilingual document layout analysis

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.