“This repository contains code and results for COVID-19 .”
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Updated
Sep 1, 2020 - Jupyter Notebook
“This repository contains code and results for COVID-19 .”
PyTorch implementation of focal loss for multi-class semantic segmentation
Pytorch implementation of Class Balanced Loss based on Effective number of Samples
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
Focal loss is used instead of Cross Entropy Loss for classification
Личный проект в области Computer Vision
Non-profit and operations analyst learning as much as she can about data science theory and application in hopes to one day use her superpowers for good.
PyTorch implementation of RetinaNet
Label Smoothing applied in Focal Loss
Implement RetinaNet with TensorFlow.eager
the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’
An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).
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