huggingface / huggingface/transformers
Add DFFT
Open
Nobody has claimed this yet.
New model
- Dominant language
- Python
- Stars
- 166k
- Forks
- 34.6k
- Avg merge
- 3d 9h
- Merged PRs (30d)
- 281
Description
Model description
DFFT is a new fully Transformer-based object detector. The model doesn't require a decoder, unlike DETR.
Open source status
- The model implementation is available
- The model weights are available
Provide useful links for the implementation
Paper: https://arxiv.org/abs/2206.06829
Github repo (and weights): https://github.com/Pealing/DFFT
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
Read the DFFT paper and the upstream implementation and weights at https://github.com/Pealing/DFFT first. Then compare the model with existing object-detection integrations in Transformers; done means DFFT is implemented and its available weights can be used through the project.
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
- Mostly clear
- Newbie friendliness
- 42/100