segmentation-models
There are 227 repositories under segmentation-models topic.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
guanfuchen/semseg
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
wherobots/GeoTorchAI
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
nibtehaz/MultiResUNet
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
VinAIResearch/CPM
💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
NITR098/Awesome-U-Net
Official repo for Medical Image Segmentation Review: The Success of U-Net
junqiangchen/PytorchDeepLearing
Meidcal Image Segmentation Pytorch Version
ecsplendid/rembg-greenscreen
Rembg Video Virtual Green Screen Edition
DebeshJha/2020-CBMS-DoubleU-Net
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
OpenIXCLab/SeC
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
htcr/sam_road
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
mbzuai-oryx/GeoPixel
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.
siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
rezazad68/TMUnet
Contextual Attention Network: Transformer Meets U-Net
faizan1234567/Brain-Tumors-Segmentation
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
vladiH/flutter_vision
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.
luisCartoGeo/GeoAI_Plugin
Plugin para ejecutar el modelo de META Segment Anything en QGIS
neuropoly/totalspineseg
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
DoctorKey/C-3PO
[PR] How to Reduce Change Detection to Semantic Segmentation
Kaiseem/SLAug
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"
ZFTurbo/segmentation_models_pytorch_3d
Segmentation models for 3D data with different backbones. PyTorch.
hamdiboukamcha/SPEED-SAM-C-TENSORRT
SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA
jcwang123/xboundformer
[TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
orobix/quadra
Quadra: Effortless and reproducible deep learning workflows with configuration files.
MuscleMap/MuscleMap
MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle
avakanski/Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation
Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps
Kazuhito00/Skin-Clothes-Hair-Segmentation-using-SMP
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))
gopinath-balu/computer_vision
Computer vision models
prateekralhan/Segment-Anything-Streamlit
Streamlit based implementation for the The Segment Anything Model (SAM) developed by Meta AI research
naamiinepal/vlsm-adapter
[MICCAI 2024] VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
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)
saadwazir/HistoSeg
HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg