NEW Feature: DeTR Model to torchvision
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- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
🚀 The feature
Adding the first Transformer-based detection model to Torchvision. A draft PR was submitted regarding the model: #5922
but a Github Issue regarding it did not exist. Therefore creating it now.
Paper: here
Official implementation: here
Pinging @xiaohu2015 and @deepwilson if you guys would like to contribute
Motivation, pitch
First Transformer-based detection model to Torchvision, which has been missing until now in torchvision.
Alternatives
No response
Additional context
No response
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 reviewing the draft PR #5922, then compare its proposed DETR integration with the linked paper and official implementation. The work is done when the Transformer-based detection model is integrated into torchvision with the project’s expected model behavior and coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100