paper-with-me

Semantic Segmentation 벤치마크

Semantic Segmentation on 38-Cloud

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Jaccard (Mean)

87.32 87.72 88.11 88.5 88.9 2019-01 2026-11 Cloud-Net — 87.32 (2019-01-29) Cloud-Net — 87.32 (2019-01-29) Cloud-Net+ — 88.9 (2020-01-23) Cloud-Net+ — 88.9 (2020-01-23) Cloud-Net — 87.32 (2019-01-29) Cloud-Net+ — 88.9 (2020-01-23)
RankModel Jaccard (Mean) PaperCodeYear
1 Cloud-Net+ 88.90 Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset · dveyarangi/cloud-net-plus · dfrisinghelli/pysegcnn 2020
2 Cloud-Net 87.32 Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset · SorourMo/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection · dfrisinghelli/pysegcnn 2019
3 Cloud-Net+ 88.90 Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset · dveyarangi/cloud-net-plus · dfrisinghelli/pysegcnn 2020
4 Cloud-Net 87.32 Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset · SorourMo/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection · dfrisinghelli/pysegcnn 2019
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