isprs-vaihingen

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anticipate218 / HAFRNet

HAFR-Net (Int. J. Appl. Earth Obs. Geoinf., under review): identity-initialized refinement of a pretrained Swin-B for VHR aerial image segmentation. LoveDA weights released.

pytorch remote-sensing aerial-imagery semantic-segmentation mamba swin-transformer ieee-tgrs very-high-resolution loveda isprs-vaihingen isprs-potsdam openearthmap

Updated Oct 11, 2026

LucaBon / weakly-semisupervised-segmentation

Star

Weakly semi-supervised semantic segmentation of ISPRS Vaihingen aerial images: 3 pixel-labelled images + crop-level tags. Tag loss, tag-constrained self-training and UniMatch-style consistency lift mIoU from 0.714 to 0.742 (pixel-label upper bound: 0.765). PyTorch.

deep-learning pytorch remote-sensing semi-supervised-learning self-training aerial-imagery unet semantic-segmentation weakly-supervised-learning isprs-vaihingen

Updated Oct 13, 2026
Python

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