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

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.

Clothes semantic segmentation with Transformers

Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.

Automatic Damage Segmentation of Sanskrit Palm-leaf Manuscripts

Cloud Cover Detection using Deep Learning

Repository of the master's thesis focused on the Automatic Detection of Objects in the Track

Semantic Segmentation of Drone Images With Hugging Face and MLflow

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.

Implementation of transformer based SegFormer-B0 from scratch for semantic segmentation.