# Building Change Detection on WHU building change detection dataset Source: [Building Change Detection on WHU building change detection dataset]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:58:43.205Z Evaluation of Building Change Detection performance on the WHU building change detection dataset, reporting Precision, Recall, F1 Score, MCC, and IoU. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Building Change Detection | | Dataset (including any stated split) | WHU building change detection dataset | | Metric | Precision | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [MCC](): Higher is better; unit: SCALAR. - [mIoU](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision | Result date | Report paper | | --- | --- | --- | --- | | CEECNet V1 | 95.571 | Not recorded | 68fa6ac91e209131cea2a350 | | FracTAL ResNet | 95.35 | Not recorded | 68fa6ac91e209131cea2a350 | | Cao et al. | 94 | Not recorded | 68fa6ac91e209131cea2a350 | | MS-FCN (M2) | 93.8 | Not recorded | 68fa6ac91e209131cea2a350 | | Mask-RCNN (M1) | 93.1 | Not recorded | 68fa6ac91e209131cea2a350 | | Liu et al. | 90.15 | Not recorded | 68fa6ac91e209131cea2a350 | | Chen et al. | 89.2 | Not recorded | 68fa6ac91e209131cea2a350 | ### CEECNet V1 Precision: 95.571. Result ID: 699ad0c65698665ec45fbb05. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"FT similarity metric depth (d)":"5","Loss strategy":"evo","Input size":"256 x 256"}. This record does not assert independent reproduction. ### FracTAL ResNet Precision: 95.35. Result ID: 699ad0c65698665ec45fbb04. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"FT similarity metric depth (d)":"5","Loss strategy":"evo","Input size":"256 x 256"}. This record does not assert independent reproduction. ### Cao et al. Precision: 94. Result ID: 699ad0c65698665ec45fbb02. [Reporting paper]() Recorded evaluation configuration: {"Input size":"512 x 512"}. This record does not assert independent reproduction. ### MS-FCN (M2) Precision: 93.8. Result ID: 699ad0c65698665ec45fbb00. [Reporting paper]() Recorded evaluation configuration: {"Input size":"512 x 512"}. This record does not assert independent reproduction. ### Mask-RCNN (M1) Precision: 93.1. Result ID: 699ad0c65698665ec45fbaff. [Reporting paper]() Recorded evaluation configuration: {"Input size":"512 x 512"}. This record does not assert independent reproduction. ### Liu et al. Precision: 90.15. Result ID: 699ad0c65698665ec45fbb03. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Input size":"256 x 256"}. This record does not assert independent reproduction. ### Chen et al. Precision: 89.2. Result ID: 699ad0c65698665ec45fbb01. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Input size":"512 x 512"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.