focalloss
There are 29 repositories under focalloss topic.
toandaominh1997/EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
implus/GFocal
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
ailias/Focal-Loss-implement-on-Tensorflow
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
chuanqi305/FocalLoss
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
HiKapok/tf.extra_losses
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
zhezh/focalloss
Focal Loss of multi-classification in tensorflow
n0obcoder/NIH-Chest-X-Rays-Multi-Label-Image-Classification-In-Pytorch
Multi-Label Image Classification of Chest X-Rays In Pytorch
andreaazzini/retinanet.pytorch
RetinaNet implementation in PyTorch
jkznst/RetinaNet-mxnet
An unofficial implementation of ICCV 2017 RetinaNet (Focal Loss).
Longqi-S/Focal-Loss
The implementation of Focal-Loss Using Caffe
Stick-To/RetinaNet-tensorflow
RetinaNet in tensorflow
yuantangliang/softmaxfocalloss
the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’
Kageshimasu/focal-loss-with-smoothing
Label Smoothing applied in Focal Loss
louis-she/focal-loss.pytorch
Focal loss implemention by PyTorch
xinhandi/Cuda-Mxnet
Cuda DL Mxnet Implementation
y2019xcj/focalloss-for-lightgbm-xgboost
focal loss (multi-class) for lightgbm/xgboost
wildoctopus/cbloss
Pytorch implementation of Class Balanced Loss based on Effective number of Samples
avinashsai/Focal-Loss-based-classification
Focal loss is used instead of Cross Entropy Loss for classification
zengyu714/retinanet-tensorflow
Implement RetinaNet with TensorFlow.eager
owphoo/FocalLoss
focal loss caffe version
UsamaI000/Covid19-Chest-XRay-Analysis
“This repository contains code and results for COVID-19 .”
bot66/SoftmaxFocalLoss
An intuitive pytorch implementation of softmax focal loss which can be used to train classification and segmentation tasks.
cloudpark93/pytorch-multi-class-segmentation-focal-loss
PyTorch implementation of focal loss for multi-class semantic segmentation
nachiket273/loss-tryout
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
xinhandi/Cuda-Tensorflow
Cuda DL Tensorflow Implementation
andiosika/andiosika.github.io
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.
georgiy-vasilevskiy/pet_project_cd_covers
Личный проект в области Computer Vision
dutyhong/dl_losses
深度学习的损失函数
lematt1991/retina_net
PyTorch implementation of RetinaNet