This is the official repository for our recent work: PIDNet
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Updated
Dec 18, 2025 - Python
This is the official repository for our recent work: PIDNet
A pytorch-based real-time segmentation model for autonomous driving
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
Official Repository for BEVANet: Bilateral Efficient Visual Attention Network for Real-time Semantic Segmentation (ICIP 2025 Spotlight Oral)
Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.
This repository contains the official implementation of P2AT, a novel architecture designed for real-time semantic segmentation. P2AT achieves trade-off between accuracy and speed, establishing state-of-the-art results on Cityscapes and CamVid (pretrained on Cityscapes) without relying on inference acceleration techniques.
A survey of Real time Semantic Segmentation for autonomous driving
Adapted representation of synthetic data to real world data.
This project was developed as a part of the presentation that I gave on the Programming 2.0 webinar: Autonomous driving.
Image Segmentation by Iterative Inference from Conditional Score Estimation
🩺 Enable real-time segmentation of multimodal biomedical images with the light-weight CFPNet-M network for improved medical analysis and diagnostics.
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
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