Skip to content
#

loss-functions

Here are 293 public repositories matching this topic...

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.

  • Updated Jan 21, 2022
2dimageto3dmodel

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.

  • Updated Mar 4, 2024
  • Python

Improve this page

Add a description, image, and links to the loss-functions 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 loss-functions topic, visit your repo's landing page and select "manage topics."

Learn more