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 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.

PyTorch Implementation of SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Real time Semantic Segmentation on Cityscapes dataset.

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

This is a warehouse for SegFormer-pytorch-model, can be used to train your image datasets for segmentation tasks.

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

A repository of SegFormer model test

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.