Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow

Focal Loss of multi-classification in tensorflow

RetinaNet implementation in PyTorch

An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).

The implementation of Focal-Loss Using Caffe

RetinaNet in tensorflow

the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’

Multi-Label Image Classification of Chest X-Rays In Pytorch

Cuda DL Mxnet Implementation

Focal loss implemention by PyTorch

Implement RetinaNet with TensorFlow.eager

focal loss caffe version

“This repository contains code and results for COVID-19 classification assignment by Deep Learning Spring 2020 course offered at Information Technology University, Lahore, Pakistan. This assignment is only for learning purposes and is not intended to be used for clinical purposes.”

Cuda DL Tensorflow Implementation

Focal loss is used instead of Cross Entropy Loss for classification

Label Smoothing applied in Focal Loss

PyTorch implementation of RetinaNet

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.