add hhhl and npmmr-det

README.md

@@ -89,6 +89,7 @@ This repo is the codebase for our team to participate in DOTA related competitio
 | SCRDet++ | ResNet101 | 76.81 | [arXiv:2004.13316](https://arxiv.org/abs/2004.13316) | [TF](https://github.com/SJTU-Thinklab-Det/DOTA-DOAI) | angular boundary problem, denoising | :white_check_mark: |
 | DAFNe | ResNet101 | 76.95 | [arXiv:2109.06148](https://arxiv.org/abs/2109.06148) | [Pytorch](https://github.com/steven-lang/DAFNe) | single stage, anchor free, center-to-corner regression |  |
 | DAL+S<sup>2</sup>A-Net | ResNet50 | 76.95 | [AAAI2021](https://arxiv.org/abs/2012.04150) | [Pytorch](https://github.com/ming71/DAL) | label assign | :white_check_mark: |
+| GGHL | DarkNet53 | 76.95 | [arXiv:2109.12848](https://arxiv.org/abs/2109.12848) | [Pytorch](https://github.com/Shank2358/GGHL) |  gaussian heatmap labeling | :white_check_mark: |
 | DCL | ResNet152 | 77.37 | [CVPR2021](https://arxiv.org/abs/2011.09670) | [TF](https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow) | boundary problem | :white_check_mark: |
 | MSFF | ResNet50 | 77.46 | [JSTARS](https://ieeexplore.ieee.org/abstract/document/9444845) | - | rotation invariance features | |
 | RIDet | ResNet50 | 77.62| [arXiv:2103.11636](https://arxiv.org/abs/2103.11636) | [Pytorch](https://github.com/ming71/RIDet), [TF](https://github.com/yangxue0827/RotationDetection) | quad., representation ambiguity  | :white_check_mark: |
@@ -135,6 +136,7 @@ This repo is the codebase for our team to participate in DOTA related competitio
 | OPLD | ResNet101 | 78.35 | [J-STARS](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9252176) | [Pytorch](https://github.com/yf19970118/OPLD-Pytorch) | boundary problem, point-guided | :white_check_mark: |
 | A<sup>2</sup>RMNet | ResNet101 | 78.45 | [Remote Sensing](https://www.mdpi.com/2072-4292/11/13/1594) | - | attention, enhanced FPN, different pooled sizes | |
 | OWSR | Ensemble (ResNet101 +  ResNeXt101 + mdcn-ResNet101) | 78.79 | [CVPR2019 WorkShop](http://openaccess.thecvf.com/content_CVPRW_2019/papers/DOAI/Li_Learning_Object-Wise_Semantic_Representation_for_Detection_in_Remote_Sensing_Imagery_CVPRW_2019_paper.pdf)   [TGRS](https://ieeexplore.ieee.org/abstract/document/8960460) | - | enhanced FPN | |
+| NPMMR-Det | DarkNet53 | 78.93 | [TGRS](https://ieeexplore.ieee.org/document/9364888) | [Pytorch](https://github.com/Shank2358/NPMMR-Det) | non-local, enhanced FPN | |
 | Parallel Cascade R-CNN |ResNeXt-101 | 78.96 | [Journal of Physics: Conference Series](https://iopscience.iop.org/article/10.1088/1742-6596/1544/1/012124/meta) | - | cascade rcnn | |
 | DM-FPN | ResNet-Based | 79.27 | [Remote Sensing](https://www.mdpi.com/2072-4292/11/7/755/) | - | enhanced FPN | |
 | SCRDet++ | ResNet101 | 79.35 | [arXiv:2004.13316](https://arxiv.org/abs/2004.13316) | [TF](https://github.com/SJTU-Thinklab-Det/DOTA-DOAI) | denoising | :white_check_mark: |