Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps
This research paper introduces a U-Net-based network that uses spatio-temporal features with cross-attention transformers to extract information from historical maps. This method addresses the challenges of data-dependent uncertainty in the…
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