Implementation of ICNet by chainer
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Updated
Nov 15, 2017 - Python
Implementation of ICNet by chainer
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
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