356 results for “topic:loss-functions”
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Code for the Lovász-Softmax loss (CVPR 2018)
Pytorch implementation of Center Loss
Collection of audio-focused loss functions in PyTorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
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。
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
A simple yet effective loss function for face verification.
IQA: Deep Image Structure and Texture Similarity Metric
optimizer & lr scheduler & loss function collections in PyTorch
A LSTM model using Risk Estimation loss function for stock trades in market
Comparison of IQA models in Perceptual Optimization
Learning to Cluster. A deep clustering strategy.
Binary and Categorical Focal loss implementation in Keras.
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
Implementation of active contour loss function
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
TensorFlow implementation of focal loss
Julia package of loss functions for machine learning.
Official repository for "Orthogonal Projection Loss" (ICCV'21)
Standalone application for plotting charts with different training statistics in a browser.
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.
DCCRN with various loss functions
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Easy to use class balanced cross entropy and focal loss implementation for Pytorch