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LSKNet implementation #782

Merged
merged 17 commits into from
Mar 28, 2023
Merged

LSKNet implementation #782

merged 17 commits into from
Mar 28, 2023

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zcablii
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@zcablii zcablii commented Mar 22, 2023

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

An implementation of LSKNet ("Large Selective Kernel Network for Remote Sensing Object Detection" at: https://arxiv.org/pdf/2303.09030.pdf)

Modification

An implementation of LSKNet ("Large Selective Kernel Network for Remote Sensing Object Detection" at: https://arxiv.org/pdf/2303.09030.pdf)

BC-breaking (Optional)

Does the modification introduce changes that break the back-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
N/A

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.
N/A

Checklist

  1. Pre-commit or other linting tools are used to fix the potential lint issues.
  2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  3. The documentation has been modified accordingly, like docstring or example tutorials.

@RangiLyu
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Thanks for your contribution! Before merge this PR, you need to format your code with pre-commit. Please run pip install pre-commit and then run pre-commit run --all-files to format your code.

| :----------------------: | :---: | :---: | :-----: | :-----: | :------: | :------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :--------: |
| [RTMDet-l](https://arxiv.org/abs/2212.07784) | 90.60 | 97.10 | le90 | 3x | - | - | - | Prev. Best |
| [ReDet](https://arxiv.org/abs/2103.07733) | 90.46 | 97.63 | le90 | 3x | 2*4 | [redet_re50_refpn_3x_hrsc_le90](./configs/redet/redet_re50_refpn_3x_hrsc_le90.py) | - | Prev. Best |
| LSKNet_S | 90.65 | 98.46 | le90 | 3x | 1*8 | [lsk_s_fpn_3x_hrsc_le90](./configs/lsknet/lsk_s_fpn_3x_hrsc_le90.py) | [model](https://pan.baidu.com/s/1jRLb5m6tGab6BF1ky1JP6A?pwd=bosr) \| [log](https://pan.baidu.com/s/1f0i5oGn3QseKQLAGMcy4_w?pwd=kn0x) | |
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Would you like to allow us to host your models on our server?

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Sure! That will be great!

zcablii and others added 5 commits March 22, 2023 20:35
Co-authored-by: Yue Zhou <592267829@qq.com>
Co-authored-by: Yue Zhou <592267829@qq.com>
Co-authored-by: Yue Zhou <592267829@qq.com>
Co-authored-by: Yue Zhou <592267829@qq.com>
Co-authored-by: Yue Zhou <592267829@qq.com>
zytx121
zytx121 previously approved these changes Mar 23, 2023
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LGTM. Just wait for the model link to be updated.


DOTA1.0

| Model | mAP | Angle | lr schd | Batch Size | Configs | Download | note |
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@RangiLyu RangiLyu Mar 27, 2023

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depths=[2, 2, 4, 2],
init_cfg=dict(
type='Pretrained',
checkpoint='data/pretrained/lsk_s_backbone.pth.tar'),
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update this link

@RangiLyu RangiLyu merged commit 0d5a004 into open-mmlab:dev-1.x Mar 28, 2023
@OpenMMLab-Assistant-004

Hi @zcablii !First of all, we want to express our gratitude for your significant PR in the mmrotate project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us :https://discord.gg/raweFPmdzG

If you have WeChat,welcome to join our community on WeChat. You can add our assistant :openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends:)
Thank you again for your contribution❤

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5 participants