Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images-Reference-Cited by-同舟云学术

Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Cao Yuan¹,Chen Lei²,Zhang Danchen³,Ma Leiming²,Shan Hongming⁴

Affiliation:

1. Fudan University,School of Computer Science

2. Shanghai Central Meteorological Observatory

3. University of Pittsburgh

4. Fudan University,Institute of Science and Technology for Brain-Inspired Intelligence

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746758.pdf?arnumber=9746758

Reference20 articles.

1. A dynamic convolutional layer for short range weather prediction;klein;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015

2. Focal Loss for Dense Object Detection

3. Deep learning for precipitation nowcasting: A benchmark and a new model;shi;Advances in neural information processing systems,2017

4. Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events

5. DR Loss: Improving Object Detection by Distributional Ranking

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