#

amsoftmax

Here are 4 public repositories matching this topic...

CoinCheung / pytorch-loss

Star

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

cuda pytorch swish ema triplet-loss one-hot label-smoothing focal-loss amsoftmax dice-loss mish

Updated Aug 25, 2020
Cuda

cavalleria / cavaface.pytorch

Star

Open

A question about the augmentation method

18

Gary-Deeplearning commented Jul 17, 2020

HI, the repo is a nice work, thanks for your sharing.
I want to know if these augmentation methods are effective,
like the RandomErasing/Mixup/RandAugment/Cutout/CutMix?

Read more

good first issue

Alireza-Akhavan / deep-face-recognition

Star

One-shot Learning and deep face recognition notebooks and workshop materials

deep-learning face-recognition face-detection facenet face-alignment face-verification sphereface center-loss arcface face-embedding amsoftmax deep-face-recognition

Updated Aug 13, 2020
Jupyter Notebook

ppriyank / Pytorch-Additive_Margin_Softmax_for_Face_Verification

Star

Pytorch Implementation of AMSoftmax

pytorch amsoftmax labelsmoothing

Updated Oct 1, 2019
Python

Improve this page

Add a description, image, and links to the amsoftmax topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the amsoftmax topic, visit your repo's landing page and select "manage topics."

You can’t perform that action at this time.