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labiao/README.md

likyoo

linux docker python pytorch

 labiao

Hi there 👋

I develop deep-learning methods for extracting buildings, roads, changes, and archaeological traces from remote-sensing imagery. My current work focuses on the large-scale identification and monitoring of Great Wall heritage using multimodal, multi-temporal, and limited-annotation data.

Gitee Page: https://gitee.com/labiao

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  1. SSGW SSGW Public

    PyTorch implementation of the paper Semi-Supervised Great Wall Relic Trace Extraction via Scene-level Adapter and Relic-oriented Consistency Learning

    Python

  2. HariwW/TFCL-Net HariwW/TFCL-Net Public

    Python

  3. GWSegNet GWSegNet Public

    A heritage segmentation network for identifying Great Wall traces in high resolution remote sensing imagery

    Python

  4. BAC-AR-Net BAC-AR-Net Public

    code for paper:Weakly Supervised Building Extraction from High-Resolution Remote Sensing Images based on Building-Aware Clustering and Activation Refinement Network

    Python 6

  5. CSNet CSNet Public

    Python 2

  6. MFR-PGC-Net MFR-PGC-Net Public

    code for paper:Utilizing Bounding Box Annotations for Weakly Supervised Building Extraction from Remote Sensing Images

    Python 2