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FPA-SSCD

This is the code of X. Zhang, H. Huang, and J. Li, “Semi-Supervised Change Detection with Feature-Prediction Alignment,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 61, pp. 1–16, 2023.

Please download three ".pth" files

"3x3resnet50-imagenet.pth"

"3x3resnet101-imagenet.pth"

"hrnetv2_w48_imagenet_pretrained.pth"

from the following three links (or you can also find these three ".pth" files by yourself)

"https://github.com/yassouali/CCT/releases/download/v0.1/3x3resnet50-imagenet.pth"

"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth"

"https://github.com/HRNet/HRNet-Semantic-Segmentation"

to the folder "FPA-SSCD/models/backbone/pretrained".

Acknowledgements

This code is based on "https://github.com/wgcban/SemiCD/tree/mainhttps://github.com/wgcban/SemiCD/tree/main"

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