To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning

arXiv:2403.17869v1 Announce Type: new
Abstract: Transfer learning has long been a key factor in the advancement of many fields including 2D image analysis. Unfortunately, its applicability in 3D data processing has been relatively limited. While several approaches for 3D transfer learning have been proposed in recent literature, with contrastive learning gaining particular prominence, most existing methods in this domain have only been studied and evaluated in limited scenarios. Most importantly, there is currently a lack of principled understanding of both …

2d image abstract advancement analysis arxiv challenges cs.cv data data processing fields image key processing the key transfer transfer learning type understanding