Add TGRS 2024

State-of-the-art/README.md

@@ -88,6 +88,7 @@ Ground <-> Satellite
 |TransGeo | 94.08 | 98.36 | 99.04 | 99.77 | Sijie Zhu, Mubarak Shah, Chen Chen. TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. CVPR 2022 [[Paper]](https://arxiv.org/pdf/2204.00097.pdf) [[Code]](https://github.com/jeff-zilence/transgeo2022)|
 | MGTL* | 94.11 | 98.30 | 99.03 | 99.74 | Jianwei Zhao, Qiang Zhai, Rui Huang, Hong Cheng. Mutual Generative Transformer Learning for Cross-view Geo-localization [[Paper]](https://arxiv.org/abs/2203.09135)|
 | GeoDTR | 93.76 | 98.47 | 99.22 | 99.85 | Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah.  Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence [[Paper]](https://arxiv.org/pdf/2212.04074.pdf) [[Code]](https://gitlab.com/vail-uvm/geodtr)|
+| TransGeo + 4SCIG | 94.10 | 98.74 | 99.22| 99.81 | Li, J., Yang, C., Qi, B., Zhu, M., & Wu, N. (2024). 4SCIG: A four-branch framework to reduce the interference of sky area in cross-view image geo-localization. IEEE Transactions on Geoscience and Remote Sensing. |
 |LPN* + DWDR | 94.33 | 98.54 | 99.09 | 99.80 | Tingyu W, Zhedong Z, Zunjie Z, Yuhan G, Yi Y, and Chenggang Y. "Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization" arXiv 2022. [[Paper]](https://arxiv.org/pdf/2211.05296.pdf) |
 | GeoDTR* | 95.43 | 98.86 | 99.34 | 99.86 | Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah.  Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence [[Paper]](https://arxiv.org/pdf/2212.04074.pdf) [[Code]](https://gitlab.com/vail-uvm/geodtr)|
 | FI* | 95.50 | - | - | - | Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Anderi Georgecu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann. Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM MM 2022 [[Paper]](https://dl.acm.org/doi/pdf/10.1145/3503161.3548102) |
@@ -119,6 +120,7 @@ Ground <-> Satellite
 |LPN* + DWDR | 83.73 | 92.78 | 94.53 | 97.78 | Tingyu W, Zhedong Z, Zunjie Z, Yuhan G, Yi Y, and Chenggang Y. "Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization" arXiv 2022. [[Paper]](https://arxiv.org/pdf/2211.05296.pdf) |
 |Polar-L2LTR* | 84.89 | 94.59 | 95.96 | 98.37 | Hongji Yang, Xiufan Lu, Yingying Zhu. Cross-view Geo-localization with Layer-to-Layer Transformer. NeurIPS 2021 [[Paper]](https://papers.nips.cc/paper/2021/file/f31b20466ae89669f9741e047487eb37-Paper.pdf) [[Code]](https://github.com/yanghongji2007/cross_view_localization_L2LTR)|
 |TransGeo | 84.95 | 94.14 | 95.78 | 98.37 | Sijie Zhu, Mubarak Shah, Chen Chen. TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. CVPR 2022 [[Paper]](https://arxiv.org/pdf/2204.00097.pdf) [[Code]](https://github.com/jeff-zilence/transgeo2022)|
+| TransGeo + 4SCIG | 83.73 | 94.41 | 95.79 | 98.41 | Li, J., Yang, C., Qi, B., Zhu, M., & Wu, N. (2024). 4SCIG: A four-branch framework to reduce the interference of sky area in cross-view image geo-localization. IEEE Transactions on Geoscience and Remote Sensing. |
 | MGTL* | 85.35 | 94.45 | 96.06 | 98.48 | Jianwei Zhao, Qiang Zhai, Rui Huang, Hong Cheng. Mutual Generative Transformer Learning for Cross-view Geo-localization [[Paper]](https://arxiv.org/abs/2203.09135)|
 | SIRNet* | 86.02 | 94.45 | 96.02 | 98.33 | Xiufan Lu, Siqi Luo, Yingying Zhu. "It’s Okay to Be Wrong: Cross-View Geo-Localization With Step-Adaptive Iterative Refinement" IEEE Transactions on Geoscience and Remote Sensing 2022 [[Paper]](https://ieeexplore.ieee.org/document/9913952/)|
 | GeoDTR | 85.43 | 94.81 | 96.11 | 98.26 | Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah.  Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence [[Paper]](https://arxiv.org/pdf/2212.04074.pdf) [[Code]](https://gitlab.com/vail-uvm/geodtr)|