WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization

arXiv:2403.15272v1 Announce Type: new
Abstract: Despite the advancements in deep learning for camera relocalization tasks, obtaining ground truth pose labels required for the training process remains a costly endeavor. While current weakly supervised methods excel in lightweight label generation, their performance notably declines in scenarios with sparse views. In response to this challenge, we introduce WSCLoc, a system capable of being customized to various deep learning-based relocalization models to enhance their performance under weakly-supervised and sparse view conditions. This is …

abstract arxiv challenge cs.cv current deep learning endeavor excel labels performance process tasks training truth type view weakly-supervised