LSKNet: A Foundation Lightweight Backbone for Remote Sensing

Benchmark Model Rank Results
change-detection-on-levir-cdLSKNet#7F1: 92.27IoU: 85.65F1-score: 92.27Recall: 91.23Precision: 93.34
change-detection-on-s2lookingLSKNet-S#4F1-Score: 67.52Precision: 71.90Recall: 63.64IoU: 50.96
object-detection-in-aerial-images-on-dota-1LSKNet-S*#6mAP: 81.85%
object-detection-in-aerial-images-on-dota-1LSKNet-S#9mAP: 81.64%
object-detection-in-aerial-images-on-dota-1LSKNet-T#10mAP: 81.37%
semantic-segmentation-on-isprs-potsdamLSKNet-S#4Overall Accuracy: 92.0Mean F1: 93.1Mean IoU: 87.2
semantic-segmentation-on-isprs-vaihingenLSKNet-S#1Overall Accuracy: 93.6Average F1: 91.8Category mIoU: 85.1
semantic-segmentation-on-isprs-vaihingenLSKNet-T#2Overall Accuracy: 93.6Average F1: 91.7Category mIoU: 84.9
semantic-segmentation-on-uavidLSKNet-S#3Mean IoU: 70.0
semantic-segmentation-on-uavidLSKNet-T#4Mean IoU: 69.3