Abstract: Few-shot Class-Incremental Learning (FSCIL) challenges models to adapt to new classes with limited samples, presenting greater difficulties than traditional class-incremental learning. While ...
Abstract: This study develops a novel framework to cali-brate multi-class mesoscopic network models utilizing traffic density measurements derived from high-resolution satellite imagery. Satellite ...
ABI and scripting to the Wasm Component Model (WASI Preview 2). He shares how to build secure plugin systems that run at near ...
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