facebookresearch / facebookresearch/detectron2
Model interpretability
Open
enhancement
- Dominant language
- Python
- Stars
- 34.7k
- Forks
- 7.9k
- PR merge metrics
- No merged PRs in 30d
Description
Any plans to implement model interpretability for Mask-RCNN architectures ?
Contributor guide
Research direction
The issue names Mask-RCNN architectures but no files, tests, entry points, or concrete interpretability behavior. Start by reviewing detectron2's Mask-RCNN implementation and existing issue discussion to define the supported method and acceptance criteria; work is done only when the scope and implementation plan are agreed.
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
- Needs clarification
- Newbie friendliness
- 20/100