Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
Abstract: Contrastive learning is a promising paradigm in the multimodal few-shot domain, leveraging images captured from different sensors as diverse perspectives of the same ground objects. However, ...
Abstract: Aiming at the challenges of high intra-class disparity and low inter-class disparity in fine-grained image classification, a multi-branch fine-grained image classification method based on ...
Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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