Update README.md

README.md

@@ -241,6 +241,7 @@ or [fastai](https://medium.com/spatial-data-science/deep-learning-for-geospatial
 * [ST-UNet](https://github.com/XinnHe/ST-UNet) -> code for 2022 [paper](https://ieeexplore.ieee.org/abstract/document/9686686): Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation
 * [EDFT](https://github.com/h1063135843/EDFT) -> code for 2022 [paper](https://www.mdpi.com/2072-4292/14/5/1294): Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation
 * [WiCoNet](https://github.com/ggsDing/WiCoNet) -> code for 2022 [paper](https://ieeexplore.ieee.org/document/9759447): Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
+* [CRGNet](https://github.com/YonghaoXu/CRGNet) -> code for 2022 [paper](https://arxiv.org/abs/2202.03740): Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
 
 ### Segmentation - Land use & land cover
 * [nga-deep-learning](https://github.com/jordancaraballo/nga-deep-learning) -> performs semantic segmentation on high resultion GeoTIF data using a modified U-Net & Keras, published by NASA researchers