Resnet34 as backbone for segmentation models
Open
Nobody has claimed this yet.
enhancement
help wanted
module: models
topic: semantic segmentation
- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
🚀 Feature
I would like segmentation models with resnet34 backbone
Motivation
They have added resnet50 backbone.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the segmentation-model backbone entry point and comparing how the existing ResNet50 backbone is wired in. Determine which segmentation models should accept ResNet34, then verify that those models construct and run successfully with the new backbone.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100