# DetectionTeamUCAS/R2CNN-Plus-Plus\_Tensorflow

<https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow>

[Home](https://repo.masters-masters.com/en) › [DetectionTeamUCAS](https://repo.masters-masters.com/en/owners/DetectionTeamUCAS) › [R2CNN-Plus-Plus\_Tensorflow](https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow)

DetectionTeamUCAS/R2CNN-Plus-Plus\_Tensorflow has 240 stars on GitHub. Its RepoMasters card: Prototype tier. This is a tensorflow implementation of R2CNN++…

| Field | Value |
| --- | --- |
| Owner | [DetectionTeamUCAS](https://repo.masters-masters.com/en/owners/DetectionTeamUCAS) |
| Stars | 240 |
| Forks | 75 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | dota, tensorflow, r2cnn, remotesensing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DetectionTeamUCAS/R2CNN-Plus-Plus\_Tensorflow](https://github.com/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow) |

## Repository

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by DetectionTeamUCAS

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- [DetectionTeamUCAS/FPN\_Tensorflow · ★ 352 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/FPN_Tensorflow)
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- [DetectionTeamUCAS/RRPN\_Faster-RCNN\_Tensorflow · ★ 252 · Python · Alpha](https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow)
- [DetectionTeamUCAS/NAS\_FPN\_Tensorflow · ★ 217 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/NAS_FPN_Tensorflow)
- [DetectionTeamUCAS/Faster-RCNN\_Tensorflow · ★ 149 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/DetectionTeamUCAS/Faster-RCNN_Tensorflow)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
