There are 11 repositories under segmentation-models topic.
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 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
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
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))
Meidcal Image Segmentation Pytorch Version
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
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.
Plugin para ejecutar el modelo de META Segment Anything en QGIS
[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
Segmentation models for 3D data with different backbones. PyTorch.
Computer vision models
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))
Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
HTSM Masterwork
Official BraTS 2023 Segmentation Performance Metrics
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks [MICCAI 2024]