Global Geometry Is Not Enough for Vision Representations 事件

Global Geometry Is Not Enough for Vision Representations arXiv:2602.03282v2 Announce Type: replace Abstract: A common assumption in representation learning is that globally well-distributed embeddings support robust and generalizable representations. This focus has shaped both training objectives and evaluation protocols, implicitly treating global geometry as a proxy for representational competence. While global geometry effectively encodes which elements are present, it is often insensitive t