Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
-
Updated
Dec 23, 2024 - Python
Content-Length: 462192 | pFad | http://github.com/topics/segformer
DASemantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.
This repository demonstrates how to use TensorFlow based SegFormer model in 🤗 transformers package.
This repository provides an overview of Segformer, architecture encoder in particular. Some details of Segformer can be misleaded, thus makes a short description here to help understand the model. Meanwhile, the code (Keras/TensorFlow) is also provided for supporting.
A Keras 3 Implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"
This is a warehouse for SegFormer-pytorch-model, can be used to train your image datasets for segmentation tasks.
PyTorch Implementation of SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Real time Semantic Segmentation on Cityscapes dataset.
Comparing CNN- and Transformer-Based Deep Learning Models for Semantic Segmentation of Remote Sensing Images. Specifically looking at different configurations of U-Net and SegFormer applied to Potsdam, Vaihingen and FloodNet dataset.
Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.
Clothes semantic segmentation with Transformers
Automatic Damage Segmentation of Sanskrit Palm-leaf Manuscripts
Cloud Cover Detection using Deep Learning
Semantic Segmentation of Drone Images With Hugging Face and MLflow
Repository of the master's thesis focused on the Automatic Detection of Objects in the Track
This project leverages the Segformer pretrained model to perform billboard segmentation through semantic segmentation, specifically targeting Indian billboards. By applying transfer learning on a custom dataset, the model accurately classifies and delineates billboards within images, enabling efficient detection and analysis.
An application for automatic road damage assessment using semantic segmentation on high-resolution images. The project helps municipal authorities and maintenance teams detect and prioritize road repairs, improving safety and reducing costs.
Breast Cancer Ultrasound Segmentation using Deep Learning
A repository of SegFormer model test
This repository contains my project on medical image segmentation using the UW-Madison GI Tract dataset. It will use a Segformer, and include a Gradio app for user-friendly image inference. The model will be deployed on HuggingFace Spaces for easy accessibility, encouraging contributions to advance medical image segmentation in healthcare domain.
Add a description, image, and links to the segformer topic page so that developers can more easily learn about it.
To associate your repository with the segformer topic, visit your repo's landing page and select "manage topics."
Fetched URL: http://github.com/topics/segformer
Alternative Proxies: