Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation

arXiv:2403.20092v1 Announce Type: new
Abstract: Images from outdoor scenes may be taken under various weather conditions. It is well studied that weather impacts the performance of computer vision algorithms and needs to be handled properly. However, existing algorithms model weather condition as a discrete status and estimate it using multi-label classification. The fact is that, physically, specifically in meteorology, weather are modeled as a continuous and transitional status. Instead of directly implementing hard classification as existing multi-weather classification methods do, …

abstract algorithms arxiv classification computer computer vision cs.cv however images impacts modeling performance type uncertainty vision weather