CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping

arXiv:2310.07855v2 Announce Type: replace-cross
Abstract: Leveraging nearest neighbor retrieval for self-supervised representation learning has proven beneficial with object-centric images. However, this approach faces limitations when applied to scene-centric datasets, where multiple objects within an image are only implicitly captured in the global representation. Such global bootstrapping can lead to undesirable entanglement of object representations. Furthermore, even object-centric datasets stand to benefit from a finer-grained bootstrapping approach. In response to these challenges, we introduce a novel Cross-Image Object-Level Bootstrapping method tailored …

arxiv bootstrapping cs.cv cs.lg image self-supervised learning supervised learning type via