This project was developed as a part of the presentation that I gave on the Programming 2.0 webinar: Autonomous driving.
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Updated
Jan 20, 2021 - Python
This project was developed as a part of the presentation that I gave on the Programming 2.0 webinar: Autonomous driving.
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
Image Segmentation by Iterative Inference from Conditional Score Estimation
Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.
Adapted representation of synthetic data to real world data.
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
This is the official repository for our recent work: PIDNet
A pytorch-based real-time segmentation model for autonomous driving
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