DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes

Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.

Navigation based on semantic segmentation of images.

[ICIP2022] Entropy guided feature extraction for real time semantic segmentation

This repository contains research on real-time domain adaptation in semantic segmentation, aiming at bridging the gap between synthetic and real-world imagery for urban scenes and autonomous driving, utilizing STDC models and advanced domain adaptation methods.

Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino

🏀 BasketballDetector implementation using a segmentation approach

Oil Pollution Dataset and PIDNet

A class-based styling approach for Real-time Domain Adaptation in Semantic Segmentation

BiSeNetV2 implementation in TensorFlow 2.0

First implementation of PIDNet in Tensorflow/Keras.

Implement a model of real-time semantic segmentation for autonomous driving

Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)

Image Segmentation Paper Review and Implementation

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)

ERF-PSPNET implemented by tensorflow

Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation