Личный проект в области Computer Vision
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Updated
Jun 25, 2024 - HTML
Личный проект в области Computer Vision
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.
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Label Smoothing applied in Focal Loss
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.
“This repository contains code and results for COVID-19 .”
Multi-Label Image Classification of Chest X-Rays In Pytorch
Focal loss is used instead of Cross Entropy Loss for classification
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
Focal Loss of multi-classification in tensorflow
An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).
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