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

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.

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.

Plugin para ejecutar el modelo de META Segment Anything en QGIS

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

[PR] How to Reduce Change Detection to Semantic Segmentation

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