Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks 事件

Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks arXiv:2602.23217v2 Announce Type: replace Abstract: This paper introduces Multidimensional Task Learning (MTL), a unified mathematical framework based on Generalized Einstein MLPs (GE-MLPs) that operate directly on tensors via the Einstein product. We argue that current computer vision task formulations are inherently constrained by matrix-based thinking: standard architectures rely on matrix-valued weights and