Addition of OHEM sampler
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- Dominant language
- Python
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Description
🚀 Feature
Addition of OHEM (online hard example mining) sampler
Motivation
Currently, a random sampler is being used in RoIHeads. However, other samplers have been shown to perform better than random sampling and heuristics. Thus, this motivates the need to introduce other samplers for example OHEM.
Pitch
There can be flag/option introduced to use a particular sampler. Based on the flag, the corresponding sampler would be used.
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 RoIHeads and the current random-sampler path. Read the surrounding model and sampling code to determine how a sampler option would fit, then review the issue discussion for expected behavior. Done means OHEM can be selected as an alternative sampler and its behavior is covered by appropriate tests.
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
- 35/100