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Found 3 papers, 1 papers with code
S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
To meet this need, we introduce S3Former, designed to segment solar panels from aerial imagery and provide size and location information critical for analyzing the impact of such installations on the grid.
SolarFormer: Multi-scale Transformer for Solar PV Profiling
Accurate mapping of PV installations is crucial for understanding their adoption and informing energy policy.
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribution, complex background, intra-class heterogeneity, inter-class homogeneity, and tiny objects.
Ranked #1 on
Semantic Segmentation
on ISPRS Potsdam
