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SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent fully supervised training.
Toward distortion-aware change detection in realistic scenarios
The whole framework is composed of Pretext Representation Pre-training, Bitemporal Image Alignment, and Down-stream Decoder Fine-Tuning.
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