Abstract: Few-shot learning (FSL) aims to learn new categories with a few visual samples per class. Few-shot class representations are often biased due to data scarcity. To mitigate this issue, we ...

Any samples that you generate should conform to the same patterns and file naming that you see with existing samples. Each code sample should be concise but inclusive of a real scenario that may ...

Abstract: This article provides a comprehensive overview of contemporary approaches to generating pseudo-random numbers, examining their benefits and drawbacks across various fields such as ...