UrbanCDNet, a custom Siamese CNN, raises F1 to 0.7511 and IoU to 0.6014 on a Korean urban change-detection benchmark, with largest gains on sparse-change and high-photometric-gap subsets.
TINYCD: A (not so) deep learning model for change detection
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UrbanCDNet: Appearance-Robust and Boundary-Aware Bitemporal Change Detection for Korean Urban Building Monitoring
UrbanCDNet, a custom Siamese CNN, raises F1 to 0.7511 and IoU to 0.6014 on a Korean urban change-detection benchmark, with largest gains on sparse-change and high-photometric-gap subsets.