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
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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
Meidcal Image Segmentation Pytorch Version
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
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.
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"
Plugin para ejecutar el modelo de META Segment Anything en QGIS
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.
Segmentation models for 3D data with different backbones. PyTorch.
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
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
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))
Computer vision models
SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA
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)
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
HTSM Masterwork
Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.