Abstract: This paper addresses the two-view geometric model fitting problem on the multi-structural data with severe outliers for providing reliable and consistent fitting results. The key idea is to ...

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...