Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

常用的语义分割架构结构综述以及代码复现

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

Official repo for Medical Image Segmentation Review: The Success of U-Net

Meidcal Image Segmentation Pytorch Version

[ICLR 2026] Official implementation of "SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction"

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Rembg Video Virtual Green Screen Edition

Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabilities.

This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.

Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.

Contextual Attention Network: Transformer Meets U-Net

Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.

A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.