focalloss

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

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

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

RetinaNet implementation in PyTorch

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

The implementation of Focal-Loss Using Caffe

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

Label Smoothing applied in Focal Loss

focal loss (multi-class) for lightgbm/xgboost

Focal loss implemention by PyTorch

Pytorch implementation of Class Balanced Loss based on Effective number of Samples

Cuda DL Mxnet Implementation

Implement RetinaNet with TensorFlow.eager

Focal loss is used instead of Cross Entropy Loss for classification

“This repository contains code and results for COVID-19 .”

An intuitive pytorch implementation of softmax focal loss which can be used to train classification and segmentation tasks.