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  1. MECNet MECNet Public

    The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly for complicated and challenging water-body samples.

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  2. AQSNet AQSNet Public

    On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery

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  3. IBS-AQSNet IBS-AQSNet Public

    Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery

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  4. HRNet-Semantic-Segmentation HRNet-Semantic-Segmentation Public

    Forked from HRNet/HRNet-Semantic-Segmentation

    This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

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  5. Learning-Deep-Learning-papers Learning-Deep-Learning-papers Public

    Forked from patrick-llgc/Learning-Deep-Learning

    Paper reading notes on Deep Learning and Machine Learning

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  6. ESFFNet ESFFNet Public

    Enhanced Semantic-positional Feature Fusion Network via Diverse Pre-trained Encoders for Remote Sensing Image Water-body Segmentation

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