A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Open paper
Benchmark
Model
Rank
Results
semantic-segmentation-on-isprs-potsdam
DC-Swin
#2
Overall Accuracy: 92.0
Mean F1: 93.25
Mean IoU: 87.56
semantic-segmentation-on-isprs-vaihingen
DC-Swin
#3
Overall Accuracy: 91.6
Average F1: 90.7
Rank counts only results with a code link.