There are 1 repository under segformer topic.
Semantic 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
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.
Real time Semantic Segmentation on Cityscapes dataset.
Clothes semantic segmentation with Transformers
Semantic Segmentation of Drone Images With Hugging Face and MLflow
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.
Automatic Damage Segmentation of Sanskrit Palm-leaf Manuscripts
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.
Cloud Cover Detection using Deep Learning
A machine learning project designed to detect road damage from images, leveraging deep learning and computer vision techniques for efficient and accurate damage detection.
Repository of the master's thesis focused on the Automatic Detection of Objects in the Track
Breast Cancer Ultrasound Segmentation using Deep Learning
Segmentation of aerial images with Deep Learning.
This repository contains about my personal project about generative AI for generate text, audio & image
Pattern Recognition Systems course (4th year, 1st semester)
This repository implements and compares deep learning models for semantic segmentation using the Oxford-IIIT Pet and Cityscapes datasets.
Image Segmentation using Segformer finetuning
Implementation of transformer based SegFormer-B0 from scratch for semantic segmentation.
This repo showcase the ENPM673: Perception for Autonomous robots final project. A vision transformer (ViT) architecture SegFormer, has been replicated for implementing semantic segmentation. Furthermore, it was deployed on raspberry pi with pi cam setup for validating the real-time performance.
A repository of SegFormer model test
AI Pipeline that is truly free, and doesnt require and internet connection to use. Built and Optimized for use with Acer Predator Helios Neo 16 w/RTX4060
Multiclass semantic segmentation problem using U-Net and SegFormer, trained on a multi-GPU.
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.