This repository is the implementation of the "Bilateral Segmentation Network for Real-Time Semantic Segmentation" paper by Changqian Yu et al. which was published in ECCV 2018.
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Updated
Sep 6, 2019 - Jupyter Notebook
This repository is the implementation of the "Bilateral Segmentation Network for Real-Time Semantic Segmentation" paper by Changqian Yu et al. which was published in ECCV 2018.
Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino
A face semantic segmentation Flask app deployed in a docker container on GCP Container Registry and a Kubernetes Engine cluster.
BiSeNet for semantic segmentation task
Project for "Advanced Machine Learning" course at PoliTO. The purpose is to implement a BiSeNet able to perform real-time semantic segmentation task
Real-time Domain Adapation in Semantic Segmentation project
"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.
Automatic labeling tool for image segmentation based on detection-labeled dataset. Additionally provides the tools for fine tuning a smoke segmenter.
Image Segmentation Paper Review and Implementation
Keras BiseNet architecture implementation
A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
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Add bisenetv2. My implementation of BiSeNet
Using modified BiSeNet for face parsing in PyTorch
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