Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection

Fang Liu; Peng Zhang; Jia Liu; Jingxiang Yang; Xu Tang; Liang Xiao

doi:10.1109/tgrs.2025.3569280

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JOURNAL ARTICLE

Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection

Fang Liu Peng Zhang Jia Liu Jingxiang Yang Xu Tang Liang Xiao

Year: 2025 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 63 Pages: 1-16 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2025.3569280

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Keywords:

Change detection Computer science Artificial intelligence Foreground detection Remote sensing Pattern recognition (psychology) Object detection Geology

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Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection

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