In the realm of machine learning, fusion set architectures have emerged as a promising paradigm for boosting model output. These architectures leverage the idea of merging multiple layers of data or features to obtain a more comprehensive representation. By harnessing the strengths of distinct parts, fusion set architectures can mitigate the weakne