Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
2026 will see stablecoins graduate from experimental crypto tools to core institutional plumbing. Their ability to deliver 24/7 real-time value transfer will reshape how institutions manage liquidity ...
New research models how crosschain price gaps and capital friction are eroding efficiency as tokenized markets scale across blockchains. Fragmentation across blockchain networks is already imposing a ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
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