pytorch/vision

Is SENet (and new architectures) welcome to `models`?

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#260 opened on Sep 16, 2017

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 (12 comments) (10 reactions) (0 assignees)Python (15,050 stars) (6,858 forks)batch import
enhancementhelp wanted

Description

Hi, now torchvision.models contains some models such as ResNet and they are very helpful as baselines.

Recently I implemented SENet, which is the winner of ILSVR 2017's classification task. Can I send a PR of SENet to models?

Plus I'd like to know which models are welcome to models.

Thank you.

Contributor guide

Tech stack
python
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
PythonPyTorchSENet architecturetorchvision codebase familiarity
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
35
Research direction
Review the comments on the issue to understand the maintainer's stance on adding new architectures. Examine the current torchvision/models directory and contribution guidelines to see if SENet would still be accepted. Consider that the issue is from 2017 and the codebase may have changed significantly.