A PyTorch Implementation of Focal Loss.
Focal loss for Dense Object Detection
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数...
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Loss implementation in Keras
Binary and Categorical Focal loss implementation in Keras.
Reproduction of Focal-loss on caffe
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Focal Loss for Dense Rotation Object Detection
Focal Loss for Dense Object Detection.
Weighted Focal Loss for multilabel classification
RetinaNet with Focal Loss implemented by Tensorflow
Simple pytorch implementation of focal loss
A simple pytorch implementation for multi-class focal loss
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
