Focal Frame Loss: A Simple but Effective Loss for Precipitation Nowcasting

نویسندگان

چکیده

Precipitation nowcasting is an important but hard problem. Currently, with the landing of deep learning, it has been treated as image prediction problem based on radar echo maps. However, learning models suffer from poor performance and blurred results. Lots improvement works enhance model by adding complex modules, which increases insufferable training memory time overhead. Others tempt to add more limitations or guidances loss, they usually have little effect in such extremely difficult task. In this paper, we propose a simple effective loss named Focal Frame Loss (FFL), assigns different weights images sequence focus that are relatively predict. Experiments two large-scale datasets show FFL can greatly improve multiple popular without introducing additional costs.

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ژورنال

عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

سال: 2022

ISSN: ['2151-1535', '1939-1404']

DOI: https://doi.org/10.1109/jstars.2022.3194522