facebookresearch / facebookresearch/detectron2

Is there a baseline,when use mobilenet as the backbone for faster-rcnn or mask-rcnn?

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#4,008 1 comment 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
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Description

## 🚀 Feature
A clear and concise description of the feature proposal.

## Motivation & Examples

Tell us why the feature is useful.

Describe what the feature would look like, if it is implemented.
Best demonstrated using **code examples** in addition to words.

## Note

We only consider adding new features if they are relevant to many users.

If you request implementation of research papers -- we only consider papers that have enough significance and prevalance in the object detection field.

We do not take requests for most projects in the `projects/` directory, because they are research code release that is mainly for other researchers to reproduce results.

"Make X faster/accurate" is not a valid feature request. "Implement a concrete feature that can make X faster/accurate" can be a valid feature request.

Instead of adding features inside detectron2,
you can implement many features by [extending detectron2](https://detectron2.readthedocs.io/tutorials/extend.html).
The [projects/](https://github.com/facebookresearch/detectron2/tree/main/projects/) directory contains many of such examples.

Contributor guide

Open the contributing guide

Research direction

The issue contains only a feature-request template and a question about using MobileNet with Faster R-CNN or Mask R-CNN; it names no files, tests, or entry points. First clarify whether a concrete implementation is wanted, which models and expected baseline are in scope, and what evidence would count as done.

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
15/100

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