# SAM-Assisted **Repository Path**: zhy186/sam-assisted ## Basic Information - **Project Name**: SAM-Assisted - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-12-06 - **Last Updated**: 2024-12-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Semantic Segmentation for Remote Sensing This repo is the PyTorch implementation of some works related to remote sensing tasks. ## Methods > **SAM-based**: [MFNet](https://arxiv.org/abs/2410.11160) (arxiv) [SAM_RS](https://ieeexplore.ieee.org/abstract/document/10636322) (IEEE TGRS 2024). > **Mamba-based**: [RS^3Mamba](https://ieeexplore.ieee.org/abstract/document/10556777) (IEEE GRSL 2024). > **Unsupervised Domain Adaptation (UDA)**: [GLGAN](https://ieeexplore.ieee.org/document/10721444) (IEEE TGRS 2024). [MBATA_GAN](https://ieeexplore.ieee.org/abstract/document/10032584/) (IEEE TGRS 2023). > **Multimodal Fusion**: [MFNet](https://arxiv.org/abs/2410.11160) (arxiv) [ASMFNet](https://ieeexplore.ieee.org/document/10736654) (IEEE JSTARS 2024) [FTransUNet](https://ieeexplore.ieee.org/document/10458980) (IEEE TGRS 2024). [CMFNet](https://ieeexplore.ieee.org/abstract/document/9749821/) (IEEE JSTARS 2022). [MSFNet](https://ieeexplore.ieee.org/abstract/document/9883789) (IEEE IGARSS 2022). ## Reference For UDA: * [TransGAN](https://github.com/VITA-Group/TransGAN) * [Advent](https://github.com/valeoai/ADVENT) * [AdaSegNet](https://github.com/wasidennis/AdaptSegNet) For Segment Anything Model: * [Medical-SAM-Adapter](https://github.com/MedicineToken/Medical-SAM-Adapter/tree/main) * [SAM](https://github.com/facebookresearch/segment-anything) For Semantic Segmentation: * [TransUNet](https://github.com/Beckschen/TransUNet) * [UNetformer](https://github.com/WangLibo1995/GeoSeg) * [UCTransNet](https://github.com/McGregorWwww/UCTransNet) * [Swin-Transformer](https://github.com/microsoft/Swin-Transformer) * [Swin-Unet](https://github.com/HuCaoFighting/Swin-Unet) * [v-FuseNet](https://github.com/nshaud/DeepNetsForEO) * [FuseNet](https://github.com/MehmetAygun/fusenet-pytorch) For Semantic Segmentation based on Mamba: * [VMamba](https://github.com/MzeroMiko/VMamba) * [VM-UNet](https://github.com/JCruan519/VM-UNet) * [Swin-UMamba](https://github.com/JiarunLiu/Swin-UMamba) ## Datasets All datasets including ISPRS Potsdam, ISPRS Vaihingen, loveDA can be downloaded [here](https://github.com/open-mmlab/mmsegmentation/blob/main/docs/en/user_guides/2_dataset_prepare.md#prepare-datasets). ## Scripts There are some scripts in utils folder including: split images, merge images, draw loss curves. ## Other Works There are some other works in our group: > **Scene Classification**: [DF4LCZ](https://github.com/ctrlovefly/DF4LCZ) (IEEE TGRS 2024). > **Change Detection**: [GCD-DDPM](https://github.com/udrs/GCD) (IEEE TGRS 2024), [GVLM](https://github.com/zxk688/GVLM) (ISPRS 2023). > **Super-resolution**: [ASDDPM](https://github.com/littlebeen/ASDDPM-Adaptive-Semantic-Enhanced-DDPM) (IEEE JSTARS 2024), [GCRDN](https://github.com/zxk688/GCRDN) (IEEE JSTARS 2023). ## Citations If these codes are helpful for your study, please cite: ``` @article{ma2024manet, title={MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation}, author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Huang, Bo}, journal={arXiv preprint arXiv:2410.11160}, year={2024} } @article{ma2024frequency, author={Ma, Xianping and Zhang, Xiaokang and Ding, Xingchen and Pun, Man-On and Ma, Siwei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={Decomposition-Based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation}, year={2024}, volume={62}, number={}, pages={1-18} } @ARTICLE{ma2024rs3mamba, author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On}, journal={IEEE Geoscience and Remote Sensing Letters}, title={RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation}, year={2024}, volume={}, number={}, pages={1-1} } @ARTICLE{ma2024ftransunet, author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Liu, Ming}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation}, year={2024}, volume={62}, number={}, pages={1-15}, doi={10.1109/TGRS.2024.3373033} } @article{ma2024sam, author={Ma, Xianping and Wu, Qianqian and Zhao, Xingyu and Zhang, Xiaokang and Pun, Man-On and Huang, Bo}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={SAM-Assisted Remote Sensing Imagery Semantic Segmentation With Object and Boundary Constraints}, year={2024}, volume={62}, pages={1-16}, } @article{ma2023unsupervised, title={Unsupervised domain adaptation augmented by mutually boosted attention for semantic segmentation of vhr remote sensing images}, author={Ma, Xianping and Zhang, Xiaokang and Wang, Zhiguo and Pun, Man-On}, journal={IEEE Transactions on Geoscience and Remote Sensing}, volume={61}, pages={1--15}, year={2023}, publisher={IEEE} } @ARTICLE{ma2024asmfnet, author={Ma, Xianping and Xu, Xichen and Zhang, Xiaokang and Pun, Man-On}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, title={Adjacent-Scale Multimodal Fusion Networks for Semantic Segmentation of Remote Sensing Data}, year={2024}, volume={}, number={}, pages={1-13} } @article{ma2022crossmodal, title={A crossmodal multiscale fusion network for semantic segmentation of remote sensing data}, author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, volume={15}, pages={3463--3474}, year={2022}, publisher={IEEE} } @inproceedings{ma2022msfnet, title={MSFNET: Multi-Stage Fusion Network for Semantic Segmentation of Fine-Resolution Remote Sensing Data}, author={Ma, Xianping and Zhang, Xiaokang and Pun, Man-On and Liu, Ming}, booktitle={IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium}, pages={2833--2836}, year={2022}, organization={IEEE} } ``` ## Contact Xianping Ma ([xianpingma@ling.cuhk.edu.cn](xianpingma@ling.cuhk.edu.cn)), ([ma.xianping125@gmail.com](haonan1wang@gmail.com)) ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=sstary/SSRS&type=Date)](https://star-history.com/#sstary/SSRS&Date)