[Help wanted] DETR (DEtection TRansformer): End-to-End Object Detection with Transformers

[jaeyounkim]

Help wanted: Research paper code and models

Please help us to implement the following research paper using TensorFlow 2.

If you want to contribute, please leave a comment to express your interest.

Research papers

• DETR (DEtection TRansformer) End-to-End Object Detection with Transformers

Status

• Need contribution

Contributor(s)

• Waiting for contributions

Tasks

• Implement a paper in TensorFlow 2
• Reproduce the paper results
• Publish documentation
• Publish pre-trained SavedModel files at TensorFlow Hub

Development environment

• Target
  • Repository: Community directory or Research directory
• Branch: https://github.com/tensorflow/models/tree/detr

Requirements

• Follow our contribution guidelines

License

By contributing, you agree that your contributions will be licensed under Apache License 2.0.

[vk1996]

Interested

[SchernHe]

Also interested

[veds12]

Can I take this up?

[dresh]

I am interested too From: Vedant Shah <notifications@github.com> Reply to: tensorflow/models <reply@reply.github.com> Date: Thursday, 9 July 2020 at 12:43 AM To: tensorflow/models <models@noreply.github.com> Cc: Subscribed <subscribed@noreply.github.com> Subject: Re: [tensorflow/models] [Help wanted] DETR (DEtection TRansformer): End-to-End Object Detection with Transformers (#8707) Can I take this up? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<#8707 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ACCABUAUELBG6ECBJC5KZWDR2TAMJANCNFSM4ODU2T4A>.

[SchernHe]

Hey all, we already started implementing the DETR: https://github.com/auvisusAI/detr-tensorflow
There are still many open topics left (e.g. the additional mask-head), but maybe we can use our repo as a starting point?

General remark: We are a quite young start-up and this is our first community project. So we are happy for all kinds of feedback/remarks :)

[bhack]

Please take a look at tensorflow/community#260 /cc @saberkun

[bhack]

/cc @Leonardo-Blanger

[bhack]

/cc @QiaoranC if interested for https://github.com/QiaoranC/tf_ResNeSt_RegNet_model

[bhack]

Some small initial components are landing at #8962