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

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

VarifocalNet: An IoU-aware Dense Object Detector

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation

Deep Face Recognition in PyTorch

中国法研杯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

A PyTorch implementation of U-Net for aerial imagery semantic segmentation.

Polyloss Pytorch Implementation

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

D3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection

A sample code for Lightweight Face Recognition competition ICCV2019

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

Implementation of RetinaNet (focal loss) by TensorFlow (object detection)

Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation

YOLO Series