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Add ChangeDetectionTask #2422
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Add ChangeDetectionTask #2422
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How hard would it be to do late fusion, so pass each image through the encoder separately, then concatenate them, then pass them through the decoder? This would make it easier to use pre-trained models.
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It's definitely possible, although I think we would need a custom Unet implementation in torchgeo/models to do this. It would simplify using the pretrained weights but is late fusion a common enough approach that many people would find this useful?
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Remind me what
[6]
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Number of input channels (2 3-channel images stacked)