There are 4 repositories under focal-loss topic.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
PyTorch extensions for fast R&D prototyping and Kaggle farming
VarifocalNet: An IoU-aware Dense Object Detector
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Voice Activity Detection (VAD) using deep learning.
Deep Face Recognition in PyTorch
**法研杯CAIL2019要素抽取任务第三名方案分享
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
基于tf.keras的多标签多分类模型
Multi-class classification with focal loss for imbalanced datasets
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
Polyloss Pytorch Implementation
Object detection and localization with Tensorflow 2 and Keras
Catalyst.Classification
Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
A sample code for Lightweight Face Recognition competition ICCV2019
Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)
此一project是由清华大学医学院的姚非凡与郑家瀚共同开发完成,这里运用了三个目标检测模型,来找到图像里的人脸,以及他们是否有带口罩,是个目标检测+2分类问题。 这一readme.md文件是为了帮助使用者如何正确使用我们的code。我们使用FasterRCNN可达到0.7的mAP[.5:.95]。
🛣️🔍 | Road crack segmentation using UNet in PyTorch > Implementation of different loss functions (i.e Focal, Dice, Dice + CE)
Implementation of RetinaNet (focal loss) by TensorFlow (object detection)
Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation
YOLO Series
Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"
An image segmentation project using PyTorch to segment the Left Atrium in 3D Late gadolinium enhanced - cardiac MR images of the human heart.
:package:Simple Tool Box with Pytorch
This is an implementation of multi-class focal loss in PyTorch.
compare the performance of cross entropy, focal loss, and dice loss in solving the problem of data imbalance
Pytorch implementation of Class Balanced Loss based on Effective number of Samples
KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.