liuruijin17 / liuruijin17/CLGo

About FrozenBatchNorm

Open
#5 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
46
Forks
6
PR merge metrics
No merged PRs in 30d

Description

Thanks a lot for the share of good work. I'm curious about the usage of FrozenBatchNorm. Why can it avoid nan during training if it is set as the first bn layer of the backbone?

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no file, test, or entry point. Start by locating FrozenBatchNorm and its backbone usage in the repository; done means documenting why this configuration avoids NaNs during training.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.