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

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

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.

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

Plugin para ejecutar el modelo de META Segment Anything en QGIS

[PR] How to Reduce Change Detection to Semantic Segmentation

[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"

Segmentation models for 3D data with different backbones. PyTorch.

MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle

SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA

Quadra: Effortless and reproducible deep learning workflows with configuration files.

[TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing

3クラス(肌、服、髪)のセマンティックセグメンテーションを実施するモデル(A model that performs semantic segmentation of 3 classes(skin, clothes, hair))