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SotA/Computer Vision/Change Detection

Change Detection

113 benchmarks919 papers

Change Detection is a computer vision task that involves detecting changes in an image or video sequence over time. The goal is to identify areas in the image or video that have undergone changes, such as appearance changes, object disappearance or appearance, or even changes in the scene's background.

Image credit: "A TRANSFORMER-BASED SIAMESE NETWORK FOR CHANGE DETECTION"

Benchmarks

Change Detection on LEVIR-CD

F1 IoU Precision Overall Accuracy F1-score Recall

Change Detection on WHU-CD

F1 Precision Recall IoU Overall Accuracy KC

Change Detection on CDD Dataset (season-varying)

F1-Score Overall Accuracy F1 Precision Recall IoU KC

Change Detection on SYSU-CD

F1 Precision Recall IoU OA KC Overall Accuracy

Change Detection on S2Looking

F1-Score IoU Precision Recall OA KC F1

Change Detection on DSIFN-CD

F1 IoU Overall Accuracy Precision Recall KC Params(M)

Change Detection on LEVIR+

F1 Prcision Recall OA IoU KC

Change Detection on WHU Building Dataset

Change Detection on OSCD - 13ch

Change Detection on LEVIR-CD - 10% labeled data

IoU OA F1 Precision Recall KC

Change Detection on LEVIR-CD - 5% labeled data

IoU OA F1 Precision Recall KC

Change Detection on OSCD - 3ch

Change Detection on GVLM

Change Detection on GoogleGZ-CD

F1 Precision Recall Overal Accuracy KC IoU

Change Detection on LEVIR-CD - 20% labeled data

IoU OA F1 Precision Recall KC

Change Detection on LEVIR-CD - 40% labeled data

IoU OA F1 Precision Recall KC

Change Detection on WHU - 10% labeled data

IoU F1 Precision Recall OA KC

Change Detection on WHU - 20% labeled data

IoU OA F1 Precision Recall KC

Change Detection on WHU - 40% labeled data

IoU OA F1 Precision Recall KC

Change Detection on WHU - 5% labeled data

IoU F1 Precision Recall OA KC

Change Detection on CLCD

Change Detection on EGY-BCD

Change Detection on SECOND

Change Detection on ChangeSim

Change Detection on PCD