BONBID-HIE-Segmentation

Code for the Lovász-Softmax loss (CVPR 2018)

Pytorch implementation of Center Loss

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Create Synthetic-Images in TensorFlow using Generative Adversarial Network and Deepfakes using Keras.

A simple yet effective loss function for face verification.

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。

Learning to Cluster. A deep clustering strategy.

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.