Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...
Abstract: Building height mapping is widely coupled with footprint segmentation in a unified multi-task learning (MTL) framework. In this study, we comprehensively explore the designs of the shared ...
This year’s Grand Prix winner is the utterly remarkable Maddie King. Her impact on MagicBrief and its rapid acceleration from ...
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While ...
Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...
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