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Models/ChangeCLIP

ChangeCLIP

Reported on 11 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision11 results

  • Change DetectiononLEVIR-CD
    F1
    92.01
    best: 92.87 (SChanger-base)
  • Change DetectiononLEVIR-CD
    IoU
    85.2
    best: 93.69 (C2FNet)
  • Change DetectiononLEVIR-CD
    Overall Accuracy
    99.2
  • Change DetectiononLEVIR-CD
    Precision
    93.4
  • Change DetectiononLEVIR-CD
    Recall
    90.67
    best: 91.7 (TTP)
  • Change DetectiononCDD Dataset (season-varying)
    F1· uses extra data
    97.89
  • Change DetectiononCDD Dataset (season-varying)
    F1-Score· uses extra data
    97.89
    best: 98.42 (P2V-CD)
  • Change DetectiononCDD Dataset (season-varying)
    IoU· uses extra data
    95.87
  • Change DetectiononCDD Dataset (season-varying)
    Overall Accuracy· uses extra data
    99.48
  • Change DetectiononCDD Dataset (season-varying)
    Precision· uses extra data
    98.02
  • Change DetectiononCDD Dataset (season-varying)
    Recall· uses extra data
    97.77